https://github.com/dy/gaussian-fit

Fit mixture of gaussians into data
https://github.com/dy/gaussian-fit

Last synced: 8 months ago
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Fit mixture of gaussians into data

• Host: GitHub
• URL: https://github.com/dy/gaussian-fit
• Owner: dy
• Created: 2016-11-13T09:08:00.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2020-12-02T19:23:08.000Z (over 5 years ago)
• Last Synced: 2025-09-12T21:16:13.169Z (9 months ago)
• Language: JavaScript
• Homepage: https://formant.github.io/gaussian-fit/
• Size: 74.2 KB
• Stars: 5
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# gaussian-fit [![unstable](http://badges.github.io/stability-badges/dist/unstable.svg)](http://github.com/badges/stability-badges)

Fit time/spectrum/other sequential data with a set of gaussians by [expectation-maximization](https://en.wikipedia.org/wiki/Expectation%E2%80%93maximization_algorithm) algoritm.

[![gaussian-fit](https://raw.githubusercontent.com/formant/gaussian-fit/gh-pages/preview.png "gaussian-fit")](http://dfcreative.github.io/gaussian-fit/)

## Usage

[![npm install gaussian-fit](https://nodei.co/npm/gaussian-fit.png?mini=true)](https://npmjs.org/package/gaussian-fit/)

```js

const fit = require('gaussian-fit')

// time/frequency/etc series

let data = [0, .1, .2, .5, .2, .1, 0]

let how = {

	// predefined components, each one is object {weight, mean, variance}

	// TODO if null - the components will be detected automatically

	components: null,

	// TODO max number of components in case of auto-detection

	maxNumber: 100,

	// max number of iterations

	maxIterations: 200,

	// TODO min difference of likelihood

	tolerance: 1e-5,

}

let components = fit(data, how)

components.forEach({weight, mean, variance} => {

	// every component is an object with weight, mean and variance properties

})

```

## Similar

* [gaussianmixture](https://www.npmjs.com/package/gaussianMixture) — classical gaussian mixture for 1d samples

* [gaussian-mixture-estimator](https://github.com/rreusser/gaussian-mixture-estimator) — nd samples data estimation