# @turf/clusters-kmeans ## clustersKmeans Takes a set of [points][1] and partition them into clusters using the k-mean . It uses the [k-means algorithm][2] ### Parameters * `points` **[FeatureCollection][3]<[Point][1]>** to be clustered * `options` **[Object][4]** Optional parameters (optional, default `{}`) * `options.numberOfClusters` **[number][5]** numberOfClusters that will be generated (optional, default `Math.sqrt(numberOfPoints/2)`) * `options.mutate` **[boolean][6]** allows GeoJSON input to be mutated (significant performance increase if true) (optional, default `false`) ### Examples ```javascript // create random points with random z-values in their properties var points = turf.randomPoint(100, {bbox: [0, 30, 20, 50]}); var options = {numberOfClusters: 7}; var clustered = turf.clustersKmeans(points, options); //addToMap var addToMap = [clustered]; ``` Returns **[FeatureCollection][3]<[Point][1]>** Clustered Points with an additional two properties associated to each Feature:* {number} cluster - the associated clusterId * {\[number, number]} centroid - Centroid of the cluster \[Longitude, Latitude] [1]: https://tools.ietf.org/html/rfc7946#section-3.1.2 [2]: https://en.wikipedia.org/wiki/K-means_clustering [3]: https://tools.ietf.org/html/rfc7946#section-3.3 [4]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object [5]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number [6]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean --- This module is part of the [Turfjs project](https://turfjs.org/), an open source module collection dedicated to geographic algorithms. It is maintained in the [Turfjs/turf](https://github.com/Turfjs/turf) repository, where you can create PRs and issues. ### Installation Install this single module individually: ```sh $ npm install @turf/clusters-kmeans ``` Or install the all-encompassing @turf/turf module that includes all modules as functions: ```sh $ npm install @turf/turf ```