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