/* *
 *
 *  Marker clusters module.
 *
 *  (c) 2010-2021 Torstein Honsi
 *
 *  Author: Wojciech Chmiel
 *
 *  License: www.highcharts.com/license
 *
 *  !!!!!!! SOURCE GETS TRANSPILED BY TYPESCRIPT. EDIT TS FILE ONLY. !!!!!!!
 *
 * */
'use strict';
import A from '../Core/Animation/AnimationUtilities.js';
var animObject = A.animObject;
import Chart from '../Core/Chart/Chart.js';
import D from '../Core/Defaults.js';
var defaultOptions = D.defaultOptions;
import Point from '../Core/Series/Point.js';
import Series from '../Core/Series/Series.js';
import SeriesRegistry from '../Core/Series/SeriesRegistry.js';
var seriesTypes = SeriesRegistry.seriesTypes;
import SVGRenderer from '../Core/Renderer/SVG/SVGRenderer.js';
var symbols = SVGRenderer.prototype.symbols;
import U from '../Core/Utilities.js';
var addEvent = U.addEvent, defined = U.defined, error = U.error, isArray = U.isArray, isFunction = U.isFunction, isObject = U.isObject, isNumber = U.isNumber, merge = U.merge, objectEach = U.objectEach, relativeLength = U.relativeLength, syncTimeout = U.syncTimeout;
/**
 * Function callback when a cluster is clicked.
 *
 * @callback Highcharts.MarkerClusterDrillCallbackFunction
 *
 * @param {Highcharts.Point} this
 *          The point where the event occured.
 *
 * @param {Highcharts.PointClickEventObject} event
 *          Event arguments.
 */
''; // detach doclets from following code
/* eslint-disable no-invalid-this */
import Axis from '../Core/Axis/Axis.js';
var Scatter = seriesTypes.scatter, baseGeneratePoints = Series.prototype.generatePoints;
// Points that ids are included in the oldPointsStateId array
// are hidden before animation. Other ones are destroyed.
var oldPointsStateId = [], stateIdCounter = 0;
/**
 * Options for marker clusters, the concept of sampling the data
 * values into larger blocks in order to ease readability and
 * increase performance of the JavaScript charts.
 *
 * Note: marker clusters module is not working with `boost`
 * and `draggable-points` modules.
 *
 * The marker clusters feature requires the marker-clusters.js
 * file to be loaded, found in the modules directory of the download
 * package, or online at [code.highcharts.com/modules/marker-clusters.js
 * ](code.highcharts.com/modules/marker-clusters.js).
 *
 * @sample maps/marker-clusters/europe
 *         Maps marker clusters
 * @sample highcharts/marker-clusters/basic
 *         Scatter marker clusters
 * @sample maps/marker-clusters/optimized-kmeans
 *         Marker clusters with colorAxis
 *
 * @product      highcharts highmaps
 * @since 8.0.0
 * @optionparent plotOptions.scatter.cluster
 *
 * @private
 */
var clusterDefaultOptions = {
    /**
     * Whether to enable the marker-clusters module.
     *
     * @sample maps/marker-clusters/basic
     *         Maps marker clusters
     * @sample highcharts/marker-clusters/basic
     *         Scatter marker clusters
     */
    enabled: false,
    /**
     * When set to `false` prevent cluster overlapping - this option
     * works only when `layoutAlgorithm.type = "grid"`.
     *
     * @sample highcharts/marker-clusters/grid
     *         Prevent overlapping
     */
    allowOverlap: true,
    /**
     * Options for the cluster marker animation.
     * @type    {boolean|Partial<Highcharts.AnimationOptionsObject>}
     * @default { "duration": 500 }
     */
    animation: {
        /** @ignore-option */
        duration: 500
    },
    /**
     * Zoom the plot area to the cluster points range when a cluster is clicked.
     */
    drillToCluster: true,
    /**
     * The minimum amount of points to be combined into a cluster.
     * This value has to be greater or equal to 2.
     *
     * @sample highcharts/marker-clusters/basic
     *         At least three points in the cluster
     */
    minimumClusterSize: 2,
    /**
     * Options for layout algorithm. Inside there
     * are options to change the type of the algorithm, gridSize,
     * distance or iterations.
     */
    layoutAlgorithm: {
        /**
         * Type of the algorithm used to combine points into a cluster.
         * There are three available algorithms:
         *
         * 1) `grid` - grid-based clustering technique. Points are assigned
         * to squares of set size depending on their position on the plot
         * area. Points inside the grid square are combined into a cluster.
         * The grid size can be controlled by `gridSize` property
         * (grid size changes at certain zoom levels).
         *
         * 2) `kmeans` - based on K-Means clustering technique. In the
         * first step, points are divided using the grid method (distance
         * property is a grid size) to find the initial amount of clusters.
         * Next, each point is classified by computing the distance between
         * each cluster center and that point. When the closest cluster
         * distance is lower than distance property set by a user the point
         * is added to this cluster otherwise is classified as `noise`. The
         * algorithm is repeated until each cluster center not change its
         * previous position more than one pixel. This technique is more
         * accurate but also more time consuming than the `grid` algorithm,
         * especially for big datasets.
         *
         * 3) `optimizedKmeans` - based on K-Means clustering technique. This
         * algorithm uses k-means algorithm only on the chart initialization
         * or when chart extremes have greater range than on initialization.
         * When a chart is redrawn the algorithm checks only clustered points
         * distance from the cluster center and rebuild it when the point is
         * spaced enough to be outside the cluster. It provides performance
         * improvement and more stable clusters position yet can be used rather
         * on small and sparse datasets.
         *
         * By default, the algorithm depends on visible quantity of points
         * and `kmeansThreshold`. When there are more visible points than the
         * `kmeansThreshold` the `grid` algorithm is used, otherwise `kmeans`.
         *
         * The custom clustering algorithm can be added by assigning a callback
         * function as the type property. This function takes an array of
         * `processedXData`, `processedYData`, `processedXData` indexes and
         * `layoutAlgorithm` options as arguments and should return an object
         * with grouped data.
         *
         * The algorithm should return an object like that:
         * <pre>{
         *  clusterId1: [{
         *      x: 573,
         *      y: 285,
         *      index: 1 // point index in the data array
         *  }, {
         *      x: 521,
         *      y: 197,
         *      index: 2
         *  }],
         *  clusterId2: [{
         *      ...
         *  }]
         *  ...
         * }</pre>
         *
         * `clusterId` (example above - unique id of a cluster or noise)
         * is an array of points belonging to a cluster. If the
         * array has only one point or fewer points than set in
         * `cluster.minimumClusterSize` it won't be combined into a cluster.
         *
         * @sample maps/marker-clusters/optimized-kmeans
         *         Optimized K-Means algorithm
         * @sample highcharts/marker-clusters/kmeans
         *         K-Means algorithm
         * @sample highcharts/marker-clusters/grid
         *         Grid algorithm
         * @sample maps/marker-clusters/custom-alg
         *         Custom algorithm
         *
         * @type {string|Function}
         * @see [cluster.minimumClusterSize](#plotOptions.scatter.marker.cluster.minimumClusterSize)
         * @apioption plotOptions.scatter.cluster.layoutAlgorithm.type
         */
        /**
         * When `type` is set to the `grid`,
         * `gridSize` is a size of a grid square element either as a number
         * defining pixels, or a percentage defining a percentage
         * of the plot area width.
         *
         * @type    {number|string}
         */
        gridSize: 50,
        /**
         * When `type` is set to `kmeans`,
         * `iterations` are the number of iterations that this algorithm will be
         * repeated to find clusters positions.
         *
         * @type    {number}
         * @apioption plotOptions.scatter.cluster.layoutAlgorithm.iterations
         */
        /**
         * When `type` is set to `kmeans`,
         * `distance` is a maximum distance between point and cluster center
         * so that this point will be inside the cluster. The distance
         * is either a number defining pixels or a percentage
         * defining a percentage of the plot area width.
         *
         * @type    {number|string}
         */
        distance: 40,
        /**
         * When `type` is set to `undefined` and there are more visible points
         * than the kmeansThreshold the `grid` algorithm is used to find
         * clusters, otherwise `kmeans`. It ensures good performance on
         * large datasets and better clusters arrangement after the zoom.
         */
        kmeansThreshold: 100
    },
    /**
     * Options for the cluster marker.
     * @extends   plotOptions.series.marker
     * @excluding enabledThreshold, states
     * @type      {Highcharts.PointMarkerOptionsObject}
     */
    marker: {
        /** @internal */
        symbol: 'cluster',
        /** @internal */
        radius: 15,
        /** @internal */
        lineWidth: 0,
        /** @internal */
        lineColor: "#ffffff" /* Palette.backgroundColor */
    },
    /**
     * Fires when the cluster point is clicked and `drillToCluster` is enabled.
     * One parameter, `event`, is passed to the function. The default action
     * is to zoom to the cluster points range. This can be prevented
     * by calling `event.preventDefault()`.
     *
     * @type      {Highcharts.MarkerClusterDrillCallbackFunction}
     * @product   highcharts highmaps
     * @see [cluster.drillToCluster](#plotOptions.scatter.marker.cluster.drillToCluster)
     * @apioption plotOptions.scatter.cluster.events.drillToCluster
     */
    /**
     * An array defining zones within marker clusters.
     *
     * In styled mode, the color zones are styled with the
     * `.highcharts-cluster-zone-{n}` class, or custom
     * classed from the `className`
     * option.
     *
     * @sample highcharts/marker-clusters/basic
     *         Marker clusters zones
     * @sample maps/marker-clusters/custom-alg
     *         Zones on maps
     *
     * @type      {Array<*>}
     * @product   highcharts highmaps
     * @apioption plotOptions.scatter.cluster.zones
     */
    /**
     * Styled mode only. A custom class name for the zone.
     *
     * @sample highcharts/css/color-zones/
     *         Zones styled by class name
     *
     * @type      {string}
     * @apioption plotOptions.scatter.cluster.zones.className
     */
    /**
     * Settings for the cluster marker belonging to the zone.
     *
     * @see [cluster.marker](#plotOptions.scatter.cluster.marker)
     * @extends   plotOptions.scatter.cluster.marker
     * @product   highcharts highmaps
     * @apioption plotOptions.scatter.cluster.zones.marker
     */
    /**
     * The value where the zone starts.
     *
     * @type      {number}
     * @product   highcharts highmaps
     * @apioption plotOptions.scatter.cluster.zones.from
     */
    /**
     * The value where the zone ends.
     *
     * @type      {number}
     * @product   highcharts highmaps
     * @apioption plotOptions.scatter.cluster.zones.to
     */
    /**
     * The fill color of the cluster marker in hover state. When
     * `undefined`, the series' or point's fillColor for normal
     * state is used.
     *
     * @type      {Highcharts.ColorType}
     * @apioption plotOptions.scatter.cluster.states.hover.fillColor
     */
    /**
     * Options for the cluster data labels.
     * @type    {Highcharts.DataLabelsOptions}
     */
    dataLabels: {
        /** @internal */
        enabled: true,
        /** @internal */
        format: '{point.clusterPointsAmount}',
        /** @internal */
        verticalAlign: 'middle',
        /** @internal */
        align: 'center',
        /** @internal */
        style: {
            color: 'contrast'
        },
        /** @internal */
        inside: true
    }
};
(defaultOptions.plotOptions || {}).series = merge((defaultOptions.plotOptions || {}).series, {
    cluster: clusterDefaultOptions,
    tooltip: {
        /**
         * The HTML of the cluster point's in the tooltip. Works only with
         * marker-clusters module and analogously to
         * [pointFormat](#tooltip.pointFormat).
         *
         * The cluster tooltip can be also formatted using
         * `tooltip.formatter` callback function and `point.isCluster` flag.
         *
         * @sample highcharts/marker-clusters/grid
         *         Format tooltip for cluster points.
         *
         * @sample maps/marker-clusters/europe/
         *         Format tooltip for clusters using tooltip.formatter
         *
         * @type      {string}
         * @default   Clustered points: {point.clusterPointsAmount}
         * @apioption tooltip.clusterFormat
         */
        clusterFormat: '<span>Clustered points: ' +
            '{point.clusterPointsAmount}</span><br/>'
    }
});
// Utils.
var pixelsToValues = function (series, pos) {
    var chart = series.chart, xAxis = series.xAxis, yAxis = series.yAxis;
    if (chart.mapView) {
        return chart.mapView.pixelsToProjectedUnits(pos);
    }
    return {
        x: xAxis ? xAxis.toValue(pos.x) : 0,
        y: yAxis ? yAxis.toValue(pos.y) : 0
    };
};
var valuesToPixels = function (series, pos) {
    var chart = series.chart, xAxis = series.xAxis, yAxis = series.yAxis;
    if (chart.mapView) {
        return chart.mapView.projectedUnitsToPixels(pos);
    }
    return {
        x: xAxis ? xAxis.toPixels(pos.x) : 0,
        y: yAxis ? yAxis.toPixels(pos.y) : 0
    };
};
/* eslint-disable require-jsdoc */
function getClusterPosition(points) {
    var pointsLen = points.length, sumX = 0, sumY = 0, i;
    for (i = 0; i < pointsLen; i++) {
        sumX += points[i].x;
        sumY += points[i].y;
    }
    return {
        x: sumX / pointsLen,
        y: sumY / pointsLen
    };
}
// Prepare array with sorted data objects to be
// compared in getPointsState method.
function getDataState(clusteredData, stateDataLen) {
    var state = [];
    state.length = stateDataLen;
    clusteredData.clusters.forEach(function (cluster) {
        cluster.data.forEach(function (elem) {
            state[elem.dataIndex] = elem;
        });
    });
    clusteredData.noise.forEach(function (noise) {
        state[noise.data[0].dataIndex] = noise.data[0];
    });
    return state;
}
function fadeInElement(elem, opacity, animation) {
    elem
        .attr({
        opacity: opacity
    })
        .animate({
        opacity: 1
    }, animation);
}
function fadeInStatePoint(stateObj, opacity, animation, fadeinGraphic, fadeinDataLabel) {
    if (stateObj.point) {
        if (fadeinGraphic && stateObj.point.graphic) {
            stateObj.point.graphic.show();
            fadeInElement(stateObj.point.graphic, opacity, animation);
        }
        if (fadeinDataLabel && stateObj.point.dataLabel) {
            stateObj.point.dataLabel.show();
            fadeInElement(stateObj.point.dataLabel, opacity, animation);
        }
    }
}
function hideStatePoint(stateObj, hideGraphic, hideDataLabel) {
    if (stateObj.point) {
        if (hideGraphic && stateObj.point.graphic) {
            stateObj.point.graphic.hide();
        }
        if (hideDataLabel && stateObj.point.dataLabel) {
            stateObj.point.dataLabel.hide();
        }
    }
}
function destroyOldPoints(oldState) {
    if (oldState) {
        objectEach(oldState, function (state) {
            if (state.point && state.point.destroy) {
                state.point.destroy();
            }
        });
    }
}
function fadeInNewPointAndDestoryOld(newPointObj, oldPoints, animation, opacity) {
    // Fade in new point.
    fadeInStatePoint(newPointObj, opacity, animation, true, true);
    // Destroy old animated points.
    oldPoints.forEach(function (p) {
        if (p.point && p.point.destroy) {
            p.point.destroy();
        }
    });
}
// Generate unique stateId for a state element.
function getStateId() {
    return Math.random().toString(36).substring(2, 7) + '-' + stateIdCounter++;
}
// Cluster symbol.
symbols.cluster = function (x, y, width, height) {
    var w = width / 2, h = height / 2, outerWidth = 1, space = 1, inner = symbols.arc(x + w, y + h, w - space * 4, h - space * 4, {
        start: Math.PI * 0.5,
        end: Math.PI * 2.5,
        open: false
    }), outer1 = symbols.arc(x + w, y + h, w - space * 3, h - space * 3, {
        start: Math.PI * 0.5,
        end: Math.PI * 2.5,
        innerR: w - outerWidth * 2,
        open: false
    }), outer2 = symbols.arc(x + w, y + h, w - space, h - space, {
        start: Math.PI * 0.5,
        end: Math.PI * 2.5,
        innerR: w,
        open: false
    });
    return outer2.concat(outer1, inner);
};
Scatter.prototype.animateClusterPoint = function (clusterObj) {
    var series = this, chart = series.chart, mapView = chart.mapView, clusterOptions = series.options.cluster, animation = animObject((clusterOptions || {}).animation), animDuration = animation.duration || 500, pointsState = (series.markerClusterInfo || {}).pointsState, newState = (pointsState || {}).newState, oldState = (pointsState || {}).oldState, oldPoints = [];
    var parentId, oldPointObj, newPointObj, newPointBBox, offset = 0, newX = 0, newY = 0, isOldPointGrahic = false, isCbHandled = false;
    if (oldState && newState) {
        newPointObj = newState[clusterObj.stateId];
        var newPos = valuesToPixels(series, newPointObj);
        newX = newPos.x - (mapView ? 0 : chart.plotLeft);
        newY = newPos.y - (mapView ? 0 : chart.plotTop);
        // Point has one ancestor.
        if (newPointObj.parentsId.length === 1) {
            parentId = (newState || {})[clusterObj.stateId].parentsId[0];
            oldPointObj = oldState[parentId];
            // If old and new poistions are the same do not animate.
            if (newPointObj.point &&
                newPointObj.point.graphic &&
                oldPointObj &&
                oldPointObj.point &&
                oldPointObj.point.plotX &&
                oldPointObj.point.plotY &&
                oldPointObj.point.plotX !== newPointObj.point.plotX &&
                oldPointObj.point.plotY !== newPointObj.point.plotY) {
                newPointBBox = newPointObj.point.graphic.getBBox();
                // Marker image does not have the offset (#14342).
                offset = (newPointObj.point.graphic &&
                    newPointObj.point.graphic.isImg) ?
                    0 : newPointBBox.width / 2;
                newPointObj.point.graphic.attr({
                    x: oldPointObj.point.plotX - offset,
                    y: oldPointObj.point.plotY - offset
                });
                newPointObj.point.graphic.animate({
                    x: newX - (newPointObj.point.graphic.radius || 0),
                    y: newY - (newPointObj.point.graphic.radius || 0)
                }, animation, function () {
                    isCbHandled = true;
                    // Destroy old point.
                    if (oldPointObj.point && oldPointObj.point.destroy) {
                        oldPointObj.point.destroy();
                    }
                });
                // Data label animation.
                if (newPointObj.point.dataLabel &&
                    newPointObj.point.dataLabel.alignAttr &&
                    oldPointObj.point.dataLabel &&
                    oldPointObj.point.dataLabel.alignAttr) {
                    newPointObj.point.dataLabel.attr({
                        x: oldPointObj.point.dataLabel.alignAttr.x,
                        y: oldPointObj.point.dataLabel.alignAttr.y
                    });
                    newPointObj.point.dataLabel.animate({
                        x: newPointObj.point.dataLabel.alignAttr.x,
                        y: newPointObj.point.dataLabel.alignAttr.y
                    }, animation);
                }
            }
        }
        else if (newPointObj.parentsId.length === 0) {
            // Point has no ancestors - new point.
            // Hide new point.
            hideStatePoint(newPointObj, true, true);
            syncTimeout(function () {
                // Fade in new point.
                fadeInStatePoint(newPointObj, 0.1, animation, true, true);
            }, animDuration / 2);
        }
        else {
            // Point has many ancestors.
            // Hide new point before animation.
            hideStatePoint(newPointObj, true, true);
            newPointObj.parentsId.forEach(function (elem) {
                if (oldState && oldState[elem]) {
                    oldPointObj = oldState[elem];
                    oldPoints.push(oldPointObj);
                    if (oldPointObj.point &&
                        oldPointObj.point.graphic) {
                        isOldPointGrahic = true;
                        oldPointObj.point.graphic.show();
                        oldPointObj.point.graphic.animate({
                            x: newX - (oldPointObj.point.graphic.radius || 0),
                            y: newY - (oldPointObj.point.graphic.radius || 0),
                            opacity: 0.4
                        }, animation, function () {
                            isCbHandled = true;
                            fadeInNewPointAndDestoryOld(newPointObj, oldPoints, animation, 0.7);
                        });
                        if (oldPointObj.point.dataLabel &&
                            oldPointObj.point.dataLabel.y !== -9999 &&
                            newPointObj.point &&
                            newPointObj.point.dataLabel &&
                            newPointObj.point.dataLabel.alignAttr) {
                            oldPointObj.point.dataLabel.show();
                            oldPointObj.point.dataLabel.animate({
                                x: newPointObj.point.dataLabel.alignAttr.x,
                                y: newPointObj.point.dataLabel.alignAttr.y,
                                opacity: 0.4
                            }, animation);
                        }
                    }
                }
            });
            // Make sure point is faded in.
            syncTimeout(function () {
                if (!isCbHandled) {
                    fadeInNewPointAndDestoryOld(newPointObj, oldPoints, animation, 0.85);
                }
            }, animDuration);
            if (!isOldPointGrahic) {
                syncTimeout(function () {
                    fadeInNewPointAndDestoryOld(newPointObj, oldPoints, animation, 0.1);
                }, animDuration / 2);
            }
        }
    }
};
Scatter.prototype.getGridOffset = function () {
    var series = this, chart = series.chart, xAxis = series.xAxis, yAxis = series.yAxis, plotLeft = 0, plotTop = 0;
    if (xAxis && series.dataMinX && series.dataMaxX) {
        plotLeft = xAxis.reversed ?
            xAxis.toPixels(series.dataMaxX) : xAxis.toPixels(series.dataMinX);
    }
    else {
        plotLeft = chart.plotLeft;
    }
    if (yAxis && series.dataMinY && series.dataMaxY) {
        plotTop = yAxis.reversed ?
            yAxis.toPixels(series.dataMinY) : yAxis.toPixels(series.dataMaxY);
    }
    else {
        plotTop = chart.plotTop;
    }
    return { plotLeft: plotLeft, plotTop: plotTop };
};
Scatter.prototype.getScaledGridSize = function (options) {
    var series = this, xAxis = series.xAxis, mapView = this.chart.mapView, processedGridSize = options.processedGridSize ||
        clusterDefaultOptions.layoutAlgorithm.gridSize;
    var search = true, k = 1, divider = 1;
    if (!series.gridValueSize) {
        if (mapView) {
            series.gridValueSize = processedGridSize / mapView.getScale();
        }
        else {
            series.gridValueSize = Math.abs(xAxis.toValue(processedGridSize) - xAxis.toValue(0));
        }
    }
    var gridSize = mapView ?
        series.gridValueSize * mapView.getScale() :
        xAxis.toPixels(series.gridValueSize) - xAxis.toPixels(0);
    var scale = +(processedGridSize / gridSize).toFixed(14);
    // Find the level and its divider.
    while (search && scale !== 1) {
        var level = Math.pow(2, k);
        if (scale > 0.75 && scale < 1.25) {
            search = false;
        }
        else if (scale >= (1 / level) && scale < 2 * (1 / level)) {
            search = false;
            divider = level;
        }
        else if (scale <= level && scale > level / 2) {
            search = false;
            divider = 1 / level;
        }
        k++;
    }
    return (processedGridSize / divider) / scale;
};
Scatter.prototype.getRealExtremes = function () {
    var chart = this.chart, x = chart.mapView ? 0 : chart.plotLeft, y = chart.mapView ? 0 : chart.plotTop, p1 = pixelsToValues(this, {
        x: x,
        y: y
    }), p2 = pixelsToValues(this, {
        x: x + chart.plotWidth,
        y: x + chart.plotHeight
    }), realMinX = p1.x, realMaxX = p2.x, realMinY = p1.y, realMaxY = p2.y;
    return {
        minX: Math.min(realMinX, realMaxX),
        maxX: Math.max(realMinX, realMaxX),
        minY: Math.min(realMinY, realMaxY),
        maxY: Math.max(realMinY, realMaxY)
    };
};
Scatter.prototype.onDrillToCluster = function (event) {
    var point = event.point || event.target;
    point.firePointEvent('drillToCluster', event, function (e) {
        var point = e.point || e.target, series = point.series, xAxis = point.series.xAxis, yAxis = point.series.yAxis, chart = point.series.chart, mapView = chart.mapView, clusterOptions = series.options.cluster, drillToCluster = (clusterOptions || {}).drillToCluster;
        if (drillToCluster && point.clusteredData) {
            var sortedDataX = point.clusteredData
                .map(function (data) { return data.x; })
                .sort(function (a, b) { return a - b; }), sortedDataY = point.clusteredData
                .map(function (data) { return data.y; })
                .sort(function (a, b) { return a - b; }), minX = sortedDataX[0], maxX = sortedDataX[sortedDataX.length - 1], minY = sortedDataY[0], maxY = sortedDataY[sortedDataY.length - 1], offsetX = Math.abs((maxX - minX) * 0.1), offsetY = Math.abs((maxY - minY) * 0.1), x1 = Math.min(minX, maxX) - offsetX, x2 = Math.max(minX, maxX) + offsetX, y1 = Math.min(minY, maxY) - offsetY, y2 = Math.max(minY, maxY) + offsetY;
            if (mapView) {
                mapView.fitToBounds({ x1: x1, x2: x2, y1: y1, y2: y2 });
            }
            else if (xAxis && yAxis) {
                chart.pointer.zoomX = true;
                chart.pointer.zoomY = true;
                chart.zoom({
                    originalEvent: e,
                    xAxis: [{
                            axis: xAxis,
                            min: x1,
                            max: x2
                        }],
                    yAxis: [{
                            axis: yAxis,
                            min: y1,
                            max: y2
                        }]
                });
            }
        }
    });
};
Scatter.prototype.getClusterDistancesFromPoint = function (clusters, pointX, pointY) {
    var pointClusterDistance = [];
    for (var clusterIndex = 0; clusterIndex < clusters.length; clusterIndex++) {
        var p1 = valuesToPixels(this, { x: pointX, y: pointY }), p2 = valuesToPixels(this, {
            x: clusters[clusterIndex].posX,
            y: clusters[clusterIndex].posY
        }), distance = Math.sqrt(Math.pow(p1.x - p2.x, 2) +
            Math.pow(p1.y - p2.y, 2));
        pointClusterDistance.push({ clusterIndex: clusterIndex, distance: distance });
    }
    return pointClusterDistance.sort(function (a, b) { return a.distance - b.distance; });
};
// Point state used when animation is enabled to compare
// and bind old points with new ones.
Scatter.prototype.getPointsState = function (clusteredData, oldMarkerClusterInfo, dataLength) {
    var oldDataStateArr = oldMarkerClusterInfo ?
        getDataState(oldMarkerClusterInfo, dataLength) : [], newDataStateArr = getDataState(clusteredData, dataLength), state = {}, newState, oldState, i;
    // Clear global array before populate with new ids.
    oldPointsStateId = [];
    // Build points state structure.
    clusteredData.clusters.forEach(function (cluster) {
        state[cluster.stateId] = {
            x: cluster.x,
            y: cluster.y,
            id: cluster.stateId,
            point: cluster.point,
            parentsId: []
        };
    });
    clusteredData.noise.forEach(function (noise) {
        state[noise.stateId] = {
            x: noise.x,
            y: noise.y,
            id: noise.stateId,
            point: noise.point,
            parentsId: []
        };
    });
    // Bind new and old state.
    for (i = 0; i < newDataStateArr.length; i++) {
        newState = newDataStateArr[i];
        oldState = oldDataStateArr[i];
        if (newState &&
            oldState &&
            newState.parentStateId &&
            oldState.parentStateId &&
            state[newState.parentStateId] &&
            state[newState.parentStateId].parentsId.indexOf(oldState.parentStateId) === -1) {
            state[newState.parentStateId].parentsId.push(oldState.parentStateId);
            if (oldPointsStateId.indexOf(oldState.parentStateId) === -1) {
                oldPointsStateId.push(oldState.parentStateId);
            }
        }
    }
    return state;
};
Scatter.prototype.markerClusterAlgorithms = {
    grid: function (dataX, dataY, dataIndexes, options) {
        var grid = {}, gridOffset = this.getGridOffset();
        var x, y, gridX, gridY, key, i;
        // drawGridLines(series, options);
        var scaledGridSize = this.getScaledGridSize(options);
        for (i = 0; i < dataX.length; i++) {
            var p = valuesToPixels(this, { x: dataX[i], y: dataY[i] });
            x = p.x - gridOffset.plotLeft;
            y = p.y - gridOffset.plotTop;
            gridX = Math.floor(x / scaledGridSize);
            gridY = Math.floor(y / scaledGridSize);
            key = gridY + '-' + gridX;
            if (!grid[key]) {
                grid[key] = [];
            }
            grid[key].push({
                dataIndex: dataIndexes[i],
                x: dataX[i],
                y: dataY[i]
            });
        }
        return grid;
    },
    kmeans: function (dataX, dataY, dataIndexes, options) {
        var series = this, clusters = [], noise = [], group = {}, pointMaxDistance = options.processedDistance ||
            clusterDefaultOptions.layoutAlgorithm.distance, iterations = options.iterations, 
        // Max pixel difference beetwen new and old cluster position.
        maxClusterShift = 1, currentIteration = 0, repeat = true, pointX = 0, pointY = 0, tempPos, pointClusterDistance = [], groupedData, key, i, j;
        options.processedGridSize = options.processedDistance;
        // Use grid method to get groupedData object.
        groupedData = series.markerClusterAlgorithms ?
            series.markerClusterAlgorithms.grid.call(series, dataX, dataY, dataIndexes, options) : {};
        // Find clusters amount and its start positions
        // based on grid grouped data.
        for (key in groupedData) {
            if (groupedData[key].length > 1) {
                tempPos = getClusterPosition(groupedData[key]);
                clusters.push({
                    posX: tempPos.x,
                    posY: tempPos.y,
                    oldX: 0,
                    oldY: 0,
                    startPointsLen: groupedData[key].length,
                    points: []
                });
            }
        }
        // Start kmeans iteration process.
        while (repeat) {
            // eslint-disable-next-line no-loop-func
            clusters.map(function (c) {
                c.points.length = 0;
                return c;
            });
            noise.length = 0;
            for (i = 0; i < dataX.length; i++) {
                pointX = dataX[i];
                pointY = dataY[i];
                pointClusterDistance = series.getClusterDistancesFromPoint(clusters, pointX, pointY);
                if (pointClusterDistance.length &&
                    pointClusterDistance[0].distance < pointMaxDistance) {
                    clusters[pointClusterDistance[0].clusterIndex].points.push({
                        x: pointX,
                        y: pointY,
                        dataIndex: dataIndexes[i]
                    });
                }
                else {
                    noise.push({
                        x: pointX,
                        y: pointY,
                        dataIndex: dataIndexes[i]
                    });
                }
            }
            // When cluster points array has only one point the
            // point should be classified again.
            for (j = 0; j < clusters.length; j++) {
                if (clusters[j].points.length === 1) {
                    pointClusterDistance = series.getClusterDistancesFromPoint(clusters, clusters[j].points[0].x, clusters[j].points[0].y);
                    if (pointClusterDistance[1].distance < pointMaxDistance) {
                        // Add point to the next closest cluster.
                        clusters[pointClusterDistance[1].clusterIndex].points
                            .push(clusters[j].points[0]);
                        // Clear points array.
                        clusters[pointClusterDistance[0].clusterIndex]
                            .points.length = 0;
                    }
                }
            }
            // Compute a new clusters position and check if it
            // is different than the old one.
            repeat = false;
            for (j = 0; j < clusters.length; j++) {
                tempPos = getClusterPosition(clusters[j].points);
                clusters[j].oldX = clusters[j].posX;
                clusters[j].oldY = clusters[j].posY;
                clusters[j].posX = tempPos.x;
                clusters[j].posY = tempPos.y;
                // Repeat the algorithm if at least one cluster
                // is shifted more than maxClusterShift property.
                if (clusters[j].posX > clusters[j].oldX + maxClusterShift ||
                    clusters[j].posX < clusters[j].oldX - maxClusterShift ||
                    clusters[j].posY > clusters[j].oldY + maxClusterShift ||
                    clusters[j].posY < clusters[j].oldY - maxClusterShift) {
                    repeat = true;
                }
            }
            // If iterations property is set repeat the algorithm
            // specified amount of times.
            if (iterations) {
                repeat = currentIteration < iterations - 1;
            }
            currentIteration++;
        }
        clusters.forEach(function (cluster, i) {
            group['cluster' + i] = cluster.points;
        });
        noise.forEach(function (noise, i) {
            group['noise' + i] = [noise];
        });
        return group;
    },
    optimizedKmeans: function (processedXData, processedYData, dataIndexes, options) {
        var series = this, pointMaxDistance = options.processedDistance ||
            clusterDefaultOptions.layoutAlgorithm.gridSize, group = {}, extremes = series.getRealExtremes(), clusterMarkerOptions = (series.options.cluster || {}).marker, offset, distance, radius;
        if (!series.markerClusterInfo || (series.initMaxX && series.initMaxX < extremes.maxX ||
            series.initMinX && series.initMinX > extremes.minX ||
            series.initMaxY && series.initMaxY < extremes.maxY ||
            series.initMinY && series.initMinY > extremes.minY)) {
            series.initMaxX = extremes.maxX;
            series.initMinX = extremes.minX;
            series.initMaxY = extremes.maxY;
            series.initMinY = extremes.minY;
            group = series.markerClusterAlgorithms ?
                series.markerClusterAlgorithms.kmeans.call(series, processedXData, processedYData, dataIndexes, options) : {};
            series.baseClusters = null;
        }
        else {
            if (!series.baseClusters) {
                series.baseClusters = {
                    clusters: series.markerClusterInfo.clusters,
                    noise: series.markerClusterInfo.noise
                };
            }
            series.baseClusters.clusters.forEach(function (cluster) {
                cluster.pointsOutside = [];
                cluster.pointsInside = [];
                cluster.data.forEach(function (dataPoint) {
                    var dataPointPx = valuesToPixels(series, dataPoint), clusterPx = valuesToPixels(series, cluster);
                    distance = Math.sqrt(Math.pow(dataPointPx.x - clusterPx.x, 2) +
                        Math.pow(dataPointPx.y - clusterPx.y, 2));
                    if (cluster.clusterZone &&
                        cluster.clusterZone.marker &&
                        cluster.clusterZone.marker.radius) {
                        radius = cluster.clusterZone.marker.radius;
                    }
                    else if (clusterMarkerOptions &&
                        clusterMarkerOptions.radius) {
                        radius = clusterMarkerOptions.radius;
                    }
                    else {
                        radius = clusterDefaultOptions.marker.radius;
                    }
                    offset = pointMaxDistance - radius >= 0 ?
                        pointMaxDistance - radius : radius;
                    if (distance > radius + offset &&
                        defined(cluster.pointsOutside)) {
                        cluster.pointsOutside.push(dataPoint);
                    }
                    else if (defined(cluster.pointsInside)) {
                        cluster.pointsInside.push(dataPoint);
                    }
                });
                if (cluster.pointsInside.length) {
                    group[cluster.id] = cluster.pointsInside;
                }
                cluster.pointsOutside.forEach(function (p, i) {
                    group[cluster.id + '_noise' + i] = [p];
                });
            });
            series.baseClusters.noise.forEach(function (noise) {
                group[noise.id] = noise.data;
            });
        }
        return group;
    }
};
Scatter.prototype.preventClusterCollisions = function (props) {
    var series = this, _a = props.key.split('-').map(parseFloat), gridY = _a[0], gridX = _a[1], gridSize = props.gridSize, groupedData = props.groupedData, defaultRadius = props.defaultRadius, clusterRadius = props.clusterRadius, gridXPx = gridX * gridSize, gridYPx = gridY * gridSize, propsPx = valuesToPixels(series, props), xPixel = propsPx.x, yPixel = propsPx.y, gridsToCheckCollision = [], pointsLen = 0, radius = 0, clusterMarkerOptions = (series.options.cluster || {}).marker, zoneOptions = (series.options.cluster || {}).zones, gridOffset = series.getGridOffset(), nextXPixel, nextYPixel, signX, signY, cornerGridX, cornerGridY, i, j, itemX, itemY, nextClusterPos, maxDist, keys;
    // Distance to the grid start.
    xPixel -= gridOffset.plotLeft;
    yPixel -= gridOffset.plotTop;
    for (i = 1; i < 5; i++) {
        signX = i % 2 ? -1 : 1;
        signY = i < 3 ? -1 : 1;
        cornerGridX = Math.floor((xPixel + signX * clusterRadius) / gridSize);
        cornerGridY = Math.floor((yPixel + signY * clusterRadius) / gridSize);
        keys = [
            cornerGridY + '-' + cornerGridX,
            cornerGridY + '-' + gridX,
            gridY + '-' + cornerGridX
        ];
        for (j = 0; j < keys.length; j++) {
            if (gridsToCheckCollision.indexOf(keys[j]) === -1 &&
                keys[j] !== props.key) {
                gridsToCheckCollision.push(keys[j]);
            }
        }
    }
    gridsToCheckCollision.forEach(function (item) {
        var _a;
        if (groupedData[item]) {
            // Cluster or noise position is already computed.
            if (!groupedData[item].posX) {
                nextClusterPos = getClusterPosition(groupedData[item]);
                groupedData[item].posX = nextClusterPos.x;
                groupedData[item].posY = nextClusterPos.y;
            }
            var pos_1 = valuesToPixels(series, {
                x: groupedData[item].posX || 0,
                y: groupedData[item].posY || 0
            });
            nextXPixel = pos_1.x - gridOffset.plotLeft;
            nextYPixel = pos_1.y - gridOffset.plotTop;
            _a = item.split('-').map(parseFloat), itemY = _a[0], itemX = _a[1];
            if (zoneOptions) {
                pointsLen = groupedData[item].length;
                for (i = 0; i < zoneOptions.length; i++) {
                    if (pointsLen >= zoneOptions[i].from &&
                        pointsLen <= zoneOptions[i].to) {
                        if (defined((zoneOptions[i].marker || {}).radius)) {
                            radius = zoneOptions[i].marker.radius || 0;
                        }
                        else if (clusterMarkerOptions &&
                            clusterMarkerOptions.radius) {
                            radius = clusterMarkerOptions.radius;
                        }
                        else {
                            radius = clusterDefaultOptions.marker.radius;
                        }
                    }
                }
            }
            if (groupedData[item].length > 1 &&
                radius === 0 &&
                clusterMarkerOptions &&
                clusterMarkerOptions.radius) {
                radius = clusterMarkerOptions.radius;
            }
            else if (groupedData[item].length === 1) {
                radius = defaultRadius;
            }
            maxDist = clusterRadius + radius;
            radius = 0;
            if (itemX !== gridX &&
                Math.abs(xPixel - nextXPixel) < maxDist) {
                xPixel = itemX - gridX < 0 ? gridXPx + clusterRadius :
                    gridXPx + gridSize - clusterRadius;
            }
            if (itemY !== gridY &&
                Math.abs(yPixel - nextYPixel) < maxDist) {
                yPixel = itemY - gridY < 0 ? gridYPx + clusterRadius :
                    gridYPx + gridSize - clusterRadius;
            }
        }
    });
    var pos = pixelsToValues(series, {
        x: xPixel + gridOffset.plotLeft,
        y: yPixel + gridOffset.plotTop
    });
    groupedData[props.key].posX = pos.x;
    groupedData[props.key].posY = pos.y;
    return pos;
};
// Check if user algorithm result is valid groupedDataObject.
Scatter.prototype.isValidGroupedDataObject = function (groupedData) {
    var result = false, i;
    if (!isObject(groupedData)) {
        return false;
    }
    objectEach(groupedData, function (elem) {
        result = true;
        if (!isArray(elem) || !elem.length) {
            result = false;
            return;
        }
        for (i = 0; i < elem.length; i++) {
            if (!isObject(elem[i]) || (!elem[i].x || !elem[i].y)) {
                result = false;
                return;
            }
        }
    });
    return result;
};
Scatter.prototype.getClusteredData = function (groupedData, options) {
    var series = this, groupedXData = [], groupedYData = [], clusters = [], // Container for clusters.
    noise = [], // Container for points not belonging to any cluster.
    groupMap = [], index = 0, 
    // Prevent minimumClusterSize lower than 2.
    minimumClusterSize = Math.max(2, options.minimumClusterSize || 2), stateId, point, points, pointUserOptions, pointsLen, marker, clusterPos, pointOptions, clusterTempPos, zoneOptions, clusterZone, clusterZoneClassName, i, k;
    // Check if groupedData is valid when user uses a custom algorithm.
    if (isFunction(options.layoutAlgorithm.type) &&
        !series.isValidGroupedDataObject(groupedData)) {
        error('Highcharts marker-clusters module: ' +
            'The custom algorithm result is not valid!', false, series.chart);
        return false;
    }
    for (k in groupedData) {
        if (groupedData[k].length >= minimumClusterSize) {
            points = groupedData[k];
            stateId = getStateId();
            pointsLen = points.length;
            // Get zone options for cluster.
            if (options.zones) {
                for (i = 0; i < options.zones.length; i++) {
                    if (pointsLen >= options.zones[i].from &&
                        pointsLen <= options.zones[i].to) {
                        clusterZone = options.zones[i];
                        clusterZone.zoneIndex = i;
                        zoneOptions = options.zones[i].marker;
                        clusterZoneClassName = options.zones[i].className;
                    }
                }
            }
            clusterTempPos = getClusterPosition(points);
            if (options.layoutAlgorithm.type === 'grid' &&
                !options.allowOverlap) {
                marker = series.options.marker || {};
                clusterPos = series.preventClusterCollisions({
                    x: clusterTempPos.x,
                    y: clusterTempPos.y,
                    key: k,
                    groupedData: groupedData,
                    gridSize: series.getScaledGridSize(options.layoutAlgorithm),
                    defaultRadius: marker.radius || 3 + (marker.lineWidth || 0),
                    clusterRadius: (zoneOptions && zoneOptions.radius) ?
                        zoneOptions.radius :
                        (options.marker || {}).radius ||
                            clusterDefaultOptions.marker.radius
                });
            }
            else {
                clusterPos = {
                    x: clusterTempPos.x,
                    y: clusterTempPos.y
                };
            }
            for (i = 0; i < pointsLen; i++) {
                points[i].parentStateId = stateId;
            }
            clusters.push({
                x: clusterPos.x,
                y: clusterPos.y,
                id: k,
                stateId: stateId,
                index: index,
                data: points,
                clusterZone: clusterZone,
                clusterZoneClassName: clusterZoneClassName
            });
            groupedXData.push(clusterPos.x);
            groupedYData.push(clusterPos.y);
            groupMap.push({
                options: {
                    formatPrefix: 'cluster',
                    dataLabels: options.dataLabels,
                    marker: merge(options.marker, {
                        states: options.states
                    }, zoneOptions || {})
                }
            });
            // Save cluster data points options.
            if (series.options.data && series.options.data.length) {
                for (i = 0; i < pointsLen; i++) {
                    if (isObject(series.options.data[points[i].dataIndex])) {
                        points[i].options =
                            series.options.data[points[i].dataIndex];
                    }
                }
            }
            index++;
            zoneOptions = null;
        }
        else {
            for (i = 0; i < groupedData[k].length; i++) {
                // Points not belonging to any cluster.
                point = groupedData[k][i];
                stateId = getStateId();
                pointOptions = null;
                pointUserOptions =
                    ((series.options || {}).data || [])[point.dataIndex];
                groupedXData.push(point.x);
                groupedYData.push(point.y);
                point.parentStateId = stateId;
                noise.push({
                    x: point.x,
                    y: point.y,
                    id: k,
                    stateId: stateId,
                    index: index,
                    data: groupedData[k]
                });
                if (pointUserOptions &&
                    typeof pointUserOptions === 'object' &&
                    !isArray(pointUserOptions)) {
                    pointOptions = merge(pointUserOptions, { x: point.x, y: point.y });
                }
                else {
                    pointOptions = {
                        userOptions: pointUserOptions,
                        x: point.x,
                        y: point.y
                    };
                }
                groupMap.push({ options: pointOptions });
                index++;
            }
        }
    }
    return {
        clusters: clusters,
        noise: noise,
        groupedXData: groupedXData,
        groupedYData: groupedYData,
        groupMap: groupMap
    };
};
// Destroy clustered data points.
Scatter.prototype.destroyClusteredData = function () {
    var clusteredSeriesData = this.markerClusterSeriesData;
    // Clear previous groups.
    (clusteredSeriesData || []).forEach(function (point) {
        if (point && point.destroy) {
            point.destroy();
        }
    });
    this.markerClusterSeriesData = null;
};
// Hide clustered data points.
Scatter.prototype.hideClusteredData = function () {
    var series = this, clusteredSeriesData = this.markerClusterSeriesData, oldState = ((series.markerClusterInfo || {}).pointsState || {}).oldState || {}, oldPointsId = oldPointsStateId.map(function (elem) {
        return (oldState[elem].point || {}).id || '';
    });
    (clusteredSeriesData || []).forEach(function (point) {
        // If an old point is used in animation hide it, otherwise destroy.
        if (point &&
            oldPointsId.indexOf(point.id) !== -1) {
            if (point.graphic) {
                point.graphic.hide();
            }
            if (point.dataLabel) {
                point.dataLabel.hide();
            }
        }
        else {
            if (point && point.destroy) {
                point.destroy();
            }
        }
    });
};
// Override the generatePoints method by adding a reference to grouped data.
Scatter.prototype.generatePoints = function () {
    var series = this, chart = series.chart, mapView = chart.mapView, xData = series.xData, yData = series.yData, clusterOptions = series.options.cluster, realExtremes = series.getRealExtremes(), visibleXData = [], visibleYData = [], visibleDataIndexes = [];
    var oldPointsState, oldDataLen, oldMarkerClusterInfo, kmeansThreshold, cropDataOffsetX, cropDataOffsetY, seriesMinX, seriesMaxX, seriesMinY, seriesMaxY, type, algorithm, clusteredData, groupedData, layoutAlgOptions, point, i;
    // For map point series, we need to resolve lon, lat and geometry options
    // and project them on the plane in order to get x and y. In the regular
    // series flow, this is not done until the `translate` method because the
    // resulting [x, y] position depends on inset positions in the MapView.
    if (mapView && series.is('mappoint') && xData && yData) {
        (series.options.data || []).forEach(function (p, i) {
            var xy = series.projectPoint(p);
            if (xy) {
                xData[i] = xy.x;
                yData[i] = xy.y;
            }
        });
    }
    if (clusterOptions &&
        clusterOptions.enabled &&
        xData &&
        xData.length &&
        yData &&
        yData.length &&
        !chart.polar) {
        type = clusterOptions.layoutAlgorithm.type;
        layoutAlgOptions = clusterOptions.layoutAlgorithm;
        // Get processed algorithm properties.
        layoutAlgOptions.processedGridSize = relativeLength(layoutAlgOptions.gridSize ||
            clusterDefaultOptions.layoutAlgorithm.gridSize, chart.plotWidth);
        layoutAlgOptions.processedDistance = relativeLength(layoutAlgOptions.distance ||
            clusterDefaultOptions.layoutAlgorithm.distance, chart.plotWidth);
        kmeansThreshold = layoutAlgOptions.kmeansThreshold ||
            clusterDefaultOptions.layoutAlgorithm.kmeansThreshold;
        // Offset to prevent cluster size changes.
        var halfGrid = layoutAlgOptions.processedGridSize / 2, p1 = pixelsToValues(series, { x: 0, y: 0 }), p2 = pixelsToValues(series, { x: halfGrid, y: halfGrid });
        cropDataOffsetX = Math.abs(p1.x - p2.x);
        cropDataOffsetY = Math.abs(p1.y - p2.y);
        // Get only visible data.
        for (i = 0; i < xData.length; i++) {
            if (!series.dataMaxX) {
                if (!defined(seriesMaxX) ||
                    !defined(seriesMinX) ||
                    !defined(seriesMaxY) ||
                    !defined(seriesMinY)) {
                    seriesMaxX = seriesMinX = xData[i];
                    seriesMaxY = seriesMinY = yData[i];
                }
                else if (isNumber(yData[i]) &&
                    isNumber(seriesMaxY) &&
                    isNumber(seriesMinY)) {
                    seriesMaxX = Math.max(xData[i], seriesMaxX);
                    seriesMinX = Math.min(xData[i], seriesMinX);
                    seriesMaxY = Math.max(yData[i] || seriesMaxY, seriesMaxY);
                    seriesMinY = Math.min(yData[i] || seriesMinY, seriesMinY);
                }
            }
            // Crop data to visible ones with appropriate offset to prevent
            // cluster size changes on the edge of the plot area.
            if (xData[i] >= (realExtremes.minX - cropDataOffsetX) &&
                xData[i] <= (realExtremes.maxX + cropDataOffsetX) &&
                (yData[i] || realExtremes.minY) >=
                    (realExtremes.minY - cropDataOffsetY) &&
                (yData[i] || realExtremes.maxY) <=
                    (realExtremes.maxY + cropDataOffsetY)) {
                visibleXData.push(xData[i]);
                visibleYData.push(yData[i]);
                visibleDataIndexes.push(i);
            }
        }
        // Save data max values.
        if (defined(seriesMaxX) && defined(seriesMinX) &&
            isNumber(seriesMaxY) && isNumber(seriesMinY)) {
            series.dataMaxX = seriesMaxX;
            series.dataMinX = seriesMinX;
            series.dataMaxY = seriesMaxY;
            series.dataMinY = seriesMinY;
        }
        if (isFunction(type)) {
            algorithm = type;
        }
        else if (series.markerClusterAlgorithms) {
            if (type && series.markerClusterAlgorithms[type]) {
                algorithm = series.markerClusterAlgorithms[type];
            }
            else {
                algorithm = visibleXData.length < kmeansThreshold ?
                    series.markerClusterAlgorithms.kmeans :
                    series.markerClusterAlgorithms.grid;
            }
        }
        else {
            algorithm = function () {
                return false;
            };
        }
        groupedData = algorithm.call(this, visibleXData, visibleYData, visibleDataIndexes, layoutAlgOptions);
        clusteredData = groupedData ? series.getClusteredData(groupedData, clusterOptions) : groupedData;
        // When animation is enabled get old points state.
        if (clusterOptions.animation &&
            series.markerClusterInfo &&
            series.markerClusterInfo.pointsState &&
            series.markerClusterInfo.pointsState.oldState) {
            // Destroy old points.
            destroyOldPoints(series.markerClusterInfo.pointsState.oldState);
            oldPointsState = series.markerClusterInfo.pointsState.newState;
        }
        else {
            oldPointsState = {};
        }
        // Save points old state info.
        oldDataLen = xData.length;
        oldMarkerClusterInfo = series.markerClusterInfo;
        if (clusteredData) {
            series.processedXData = clusteredData.groupedXData;
            series.processedYData = clusteredData.groupedYData;
            series.hasGroupedData = true;
            series.markerClusterInfo = clusteredData;
            series.groupMap = clusteredData.groupMap;
        }
        baseGeneratePoints.apply(this);
        if (clusteredData && series.markerClusterInfo) {
            // Mark cluster points. Safe point reference in the cluster object.
            (series.markerClusterInfo.clusters || []).forEach(function (cluster) {
                point = series.points[cluster.index];
                point.isCluster = true;
                point.clusteredData = cluster.data;
                point.clusterPointsAmount = cluster.data.length;
                cluster.point = point;
                // Add zoom to cluster range.
                addEvent(point, 'click', series.onDrillToCluster);
            });
            // Safe point reference in the noise object.
            (series.markerClusterInfo.noise || []).forEach(function (noise) {
                noise.point = series.points[noise.index];
            });
            // When animation is enabled save points state.
            if (clusterOptions.animation &&
                series.markerClusterInfo) {
                series.markerClusterInfo.pointsState = {
                    oldState: oldPointsState,
                    newState: series.getPointsState(clusteredData, oldMarkerClusterInfo, oldDataLen)
                };
            }
            // Record grouped data in order to let it be destroyed the next time
            // processData runs.
            if (!clusterOptions.animation) {
                this.destroyClusteredData();
            }
            else {
                this.hideClusteredData();
            }
            this.markerClusterSeriesData =
                this.hasGroupedData ? this.points : null;
        }
    }
    else {
        baseGeneratePoints.apply(this);
    }
};
// Handle animation.
addEvent(Chart, 'render', function () {
    var chart = this;
    (chart.series || []).forEach(function (series) {
        if (series.markerClusterInfo) {
            var options = series.options.cluster, pointsState = (series.markerClusterInfo || {}).pointsState, oldState = (pointsState || {}).oldState;
            if ((options || {}).animation &&
                series.markerClusterInfo &&
                series.chart.pointer.pinchDown.length === 0 &&
                ((series.xAxis || {}).eventArgs || {}).trigger !== 'pan' &&
                oldState &&
                Object.keys(oldState).length) {
                series.markerClusterInfo.clusters.forEach(function (cluster) {
                    series.animateClusterPoint(cluster);
                });
                series.markerClusterInfo.noise.forEach(function (noise) {
                    series.animateClusterPoint(noise);
                });
            }
        }
    });
});
// Override point prototype to throw a warning when trying to update
// clustered point.
addEvent(Point, 'update', function () {
    if (this.dataGroup) {
        error('Highcharts marker-clusters module: ' +
            'Running `Point.update` when point belongs to clustered series' +
            ' is not supported.', false, this.series.chart);
        return false;
    }
});
// Destroy grouped data on series destroy.
addEvent(Series, 'destroy', Scatter.prototype.destroyClusteredData);
// Add classes, change mouse cursor.
addEvent(Series, 'afterRender', function () {
    var series = this, clusterZoomEnabled = (series.options.cluster || {}).drillToCluster;
    if (series.markerClusterInfo && series.markerClusterInfo.clusters) {
        series.markerClusterInfo.clusters.forEach(function (cluster) {
            if (cluster.point && cluster.point.graphic) {
                cluster.point.graphic.addClass('highcharts-cluster-point');
                // Change cursor to pointer when drillToCluster is enabled.
                if (clusterZoomEnabled && cluster.point) {
                    cluster.point.graphic.css({
                        cursor: 'pointer'
                    });
                    if (cluster.point.dataLabel) {
                        cluster.point.dataLabel.css({
                            cursor: 'pointer'
                        });
                    }
                }
                if (defined(cluster.clusterZone)) {
                    cluster.point.graphic.addClass(cluster.clusterZoneClassName ||
                        'highcharts-cluster-zone-' +
                            cluster.clusterZone.zoneIndex);
                }
            }
        });
    }
});
addEvent(Point, 'drillToCluster', function (event) {
    var point = event.point || event.target, series = point.series, clusterOptions = series.options.cluster, onDrillToCluster = ((clusterOptions || {}).events || {}).drillToCluster;
    if (isFunction(onDrillToCluster)) {
        onDrillToCluster.call(this, event);
    }
});
// Destroy the old tooltip after zoom.
addEvent(Axis, 'setExtremes', function () {
    var chart = this.chart, animationDuration = 0, animation;
    chart.series.forEach(function (series) {
        if (series.markerClusterInfo) {
            animation = animObject((series.options.cluster || {}).animation);
            animationDuration = animation.duration || 0;
        }
    });
    syncTimeout(function () {
        if (chart.tooltip) {
            chart.tooltip.destroy();
        }
    }, animationDuration);
});
