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.

How to install it?

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

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:

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 tutorial on Pharo Wiki.

How to use it?