scancode-miro/node_modules/@turf/clusters-kmeans

@turf/clusters-kmeans

clustersKmeans

Takes a set of points and partition them into clusters using the k-mean . It uses the k-means algorithm

Parameters

• points FeatureCollection<Point> to be clustered

• options Object Optional parameters (optional, default {})

  • options.numberOfClusters number numberOfClusters that will be generated (optional, default Math.sqrt(numberOfPoints/2))
  • options.mutate boolean allows GeoJSON input to be mutated (significant performance increase if true) (optional, default false)

Examples

// 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<Point> 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]

---

This module is part of the Turfjs project, an open source module collection dedicated to geographic algorithms. It is maintained in the Turfjs/turf repository, where you can create PRs and issues.

Installation

Install this single module individually:

$ npm install @turf/clusters-kmeans

Or install the all-encompassing @turf/turf module that includes all modules as functions:

$ npm install @turf/turf