x-means 中文

A Node JS implementation of the x-means algorithm, extends k-means to automatically decide the value of k.

Thanks to this paper and this repo.

while k-means is a simple and straight-forward algorithm to cluster data automatically, it requires human to decide how many clusters (the k) in the data. This is a huge drawback for automating the clustering process. Is there a way to efficiently decide the number of clusters in the data so that no human intervention needed?

That is what x-means can do. It can automatically search the k centroids from k_min to k_max and decide the best value of k. Basically it tries from a small value of k and then use the devide and conquer method to check each area using k-means. To evaluate if an area can be split into two sub area, it uses BIC (Bayesian Information Criterion) method.

Installation

npm install x-means

Usage

import XMeans from './index';

let inputData = [
    [0, 0], [0, 0], [0, 0], [0, 0], 
    [10, 10], [10, 10], [10, 10], 
    [20, 20], [20, 20], [20, 20]
];

let x = new XMeans(
    inputData, 
    initCenters=[ [0, 0], [5, 5] ], 
    maxCenters=20, 
    tolerance=0.025
);
x.process();

expect(x.clusters.length).to.eql(3);
expect(x.centers.length).to.eql(3);
expect(x.getClusterData()).to.eql([
    [[0, 0], [0, 0], [0, 0], [0, 0]],
    [[10, 10], [10, 10], [10, 10]],
    [[20, 20], [20, 20], [20, 20]]
]);

Contribution

git clone https://github.com/Jeff-Tian/x-means.git
npm install
npm test
npm run coverage