ml-pca

Principal component analysis (PCA).

Maintained by Zakodium

[![NPM version][npm-image]][npm-url]
[![build status][ci-image]][ci-url]
[![npm download][download-image]][download-url]

Installation

$ npm install ml-pca

Usage

``js
const { PCA } = require('ml-pca');
const dataset = require('ml-dataset-iris').getNumbers();
// dataset is a two-dimensional array where rows represent the samples and columns the features
const pca = new PCA(dataset);
console.log(pca.getExplainedVariance());
/*
[ 0.9246187232017269,
0.05306648311706785,
0.017102609807929704,
0.005212183873275558 ]
*/
const newPoints = [
[4.9, 3.2, 1.2, 0.4],
[5.4, 3.3, 1.4, 0.9],
];
console.log(pca.predict(newPoints)); // project new points into the PCA space
/*
[
[ -2.830722471866897,
0.01139060953209596,
0.0030369648815961603,
-0.2817812120420965 ],
[ -2.308002707614927,
-0.3175048770719249,
0.059976053412802766,
-0.688413413360567 ]]
*/
``

API Documentation

License

MIT

[npm-image]: https://img.shields.io/npm/v/ml-pca.svg
[npm-url]: https://npmjs.org/package/ml-pca
[ci-image]: https://github.com/mljs/pca/workflows/Node.js%20CI/badge.svg?branch=master
[ci-url]: https://github.com/mljs/pca/actions?query=workflow%3A%22Node.js+CI%22
[download-image]: https://img.shields.io/npm/dm/ml-pca.svg
[download-url]: https://npmjs.org/package/ml-pca