clustersKmeans

描述

¥Description

获取一组 points，并使用 K 均值聚类算法将其划分为不同的聚类。它使用 K 均值算法。

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

参数

¥Parameters

名称	类型	描述
points	FeatureCollection<点>	待聚类
options?	对象	可选参数（默认 {}）
options.numberOfClusters?	number	将生成的簇数（默认值 Math.sqrt(numberOfPoints/2)）
options.mutate?	boolean	允许 GeoJSON 输入发生修改（如果为 true，则性能显著提升）（默认为 false）

返回

¥Returns

FeatureCollection<点> 聚类点，每个要素具有两个附加属性：

¥FeatureCollection<Point> Clustered Points with an additional two properties associated to each Feature:

• ---左括号---数字---右括号--- 簇 - 关联的 clusterId

  ¥{number} cluster - the associated clusterId

• ---左括号---[数字, 数字]---右括号--- 质心 - 聚类的质心 [经度，纬度]

  ¥{[number, number]} centroid - Centroid of the cluster [Longitude, Latitude]

示例

¥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);

安装

¥Installation

$ npm install @turf/clusters-kmeans

import { clustersKmeans } from "@turf/clusters-kmeans";
const result = clustersKmeans(...);

$ npm install @turf/turf

import * as turf from "@turf/turf";
const result = turf.clustersKmeans(...);