@ppz/k-means-pp@2.2.0

latest

ppzreboot/k-means-pp.js

A JS/TS implementation of the k-means and k-means++ clustering algorithm.

JSR Score

100%

Published

4 hours ago (2.2.0)

@ppz/k-means-pp

k_means_pp

function k_means_pp



k_means_pp(points: I_points_data,
k: number,
range: Range,
): Result

Performs the K-means++ clustering algorithm on a set of points.

This function implements the initialization step of K-means++, which selects initial centroids in a way that improves the final clustering result compared to standard K-means.

Parameters



points: I_points_data

The input data points to be clustered.



k: number

The number of clusters to form.



range: Range

The range of possible values for each dimension of the points.

Return Type

Result

A Result object containing the final clusters, their means, and the number of iterations.

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import { k_means_pp } from "@ppz/k-means-pp";