https://github.com/pharo-ai/gaussian-mixture-model

Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification
https://github.com/pharo-ai/gaussian-mixture-model

classification gaussian-mixture-models machine-learning maximum-likelihood pharo statistical-learning statistics

Last synced: 30 days ago
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Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification

• Host: GitHub
• URL: https://github.com/pharo-ai/gaussian-mixture-model
• Owner: pharo-ai
• License: mit
• Created: 2021-02-22T11:25:57.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2022-06-09T11:25:54.000Z (over 2 years ago)
• Last Synced: 2023-03-07T00:10:36.663Z (almost 2 years ago)
• Topics: classification, gaussian-mixture-models, machine-learning, maximum-likelihood, pharo, statistical-learning, statistics
• Language: Smalltalk
• Homepage:
• Size: 55.7 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Gaussian Mixture Model

![Build status](https://github.com/pharo-ai/gaussian-mixture-model/workflows/CI/badge.svg)

[![Coverage Status](https://coveralls.io/repos/github/pharo-ai/gaussian-mixture-model/badge.svg?branch=master)](https://coveralls.io/github/pharo-ai/gaussian-mixture-model?branch=master)

[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/pharo-ai/gaussian-mixture-model/master/LICENSE)

**Gaussian Mixture Model (GMM)** is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification.

## How to install it?

To install `gaussian-mixture-model`, go to the Playground (Ctrl+OW) in your [Pharo](https://pharo.org/) image and execute the following Metacello script (select it and press Do-it button or Ctrl+D):

```Smalltalk

Metacello new

  baseline: 'AIGaussianMixtureModel';

  repository: 'github://pharo-ai/gaussian-mixture-model/src';

  load.

```

## How to depend on it?

If you want to add a dependency on `gaussian-mixture-model` to your project, include the following lines into your baseline method:

```Smalltalk

spec

  baseline: 'AIGaussianMixtureModel'

  with: [ spec repository: 'github://pharo-ai/gaussian-mixture-model/src' ].

```

If you are new to baselines and Metacello, check out the [Baselines](https://github.com/pharo-open-documentation/pharo-wiki/blob/master/General/Baselines.md) tutorial on Pharo Wiki.

## How to use it?