# expectation-maximization

**Repository Path**: mirrors_mljs/expectation-maximization

## Basic Information

- **Project Name**: expectation-maximization
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-22
- **Last Updated**: 2026-03-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# expectation-maximization

  [![NPM version][npm-image]][npm-url]
  [![build status][travis-image]][travis-url]
  [![David deps][david-image]][david-url]
  [![npm download][download-image]][download-url]

Gaussian Mixture Models using Expectation Maximization algorithm transcribed from Expectation Maximization [repository](https://github.com/lovasoa/expectation-maximization)
of Ophir LOJKINE, also using his multivariate gaussian [link](https://github.com/lovasoa/multivariate-gaussian).

## Installation

`$ npm install ml-expectation-maximization`

## Example

```js
const ExpectationMaximization = require('ml-expectation-maximization').ExpectationMaximization;
const em = new ExpectationMaximization();
em.train(data); // data is a training matrix
em.predict(toPredict); // data matrix to predict

/*
Get information about clusters obtained on the training step.
Each element of the array is a cluster with the following information

* weight: Weight of the current cluster.
* mean: Current mean of the cluster.
* covariance: Covariance matrix of the cluster.
* prediction: prediction label associated with the cluster.
*/
var data = em.getClusterData();

// save your model
var model = em.toJSON();

// load your model
var newEM = EM.load(model);
```

## [API Documentation](https://mljs.github.io/expectation-maximization/)

## License

[MIT](./LICENSE)

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[npm-url]: https://npmjs.org/package/ml-expectation-maximization
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[travis-url]: https://travis-ci.org/mljs/expectation-maximization
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[david-url]: https://david-dm.org/mljs/expectation-maximization
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[download-url]: https://npmjs.org/package/ml-expectation-maximization