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documentation.js. Update this documentation by updating the source code. -->\n\n## clustersKmeans\n\nTakes a set of [points][1] and partition them into clusters using the k-mean .\nIt uses the [k-means algorithm][2]\n\n### Parameters\n\n*   `points` **[FeatureCollection][3]<[Point][1]>** to be clustered\n*   `options` **[Object][4]** Optional parameters (optional, default `{}`)\n\n    *   `options.numberOfClusters` **[number][5]** numberOfClusters that will be generated (optional, default `Math.sqrt(numberOfPoints/2)`)\n    *   `options.mutate` **[boolean][6]** allows GeoJSON input to be mutated (significant performance increase if true) (optional, default `false`)\n\n### Examples\n\n```javascript\n// create random points with random z-values in their properties\nvar points = turf.randomPoint(100, {bbox: [0, 30, 20, 50]});\nvar options = {numberOfClusters: 7};\nvar clustered = turf.clustersKmeans(points, options);\n\n//addToMap\nvar addToMap = [clustered];\n```\n\nReturns **[FeatureCollection][3]<[Point][1]>** Clustered Points with an additional two properties associated to each Feature:*   {number} cluster - the associated clusterId\n*   {\\[number, number]} centroid - Centroid of the cluster \\[Longitude, Latitude]\n\n[1]: https://tools.ietf.org/html/rfc7946#section-3.1.2\n\n[2]: https://en.wikipedia.org/wiki/K-means_clustering\n\n[3]: https://tools.ietf.org/html/rfc7946#section-3.3\n\n[4]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object\n\n[5]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number\n\n[6]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean\n\n<!-- This file is automatically generated. 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