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r-emcluster

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EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-emcluster

Usage Tracking

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About

Summary

EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.

Last Updated

Mar 17, 2019 at 14:39

License

MPL 2.0 (Licence Publique Mozilla 2.0)

Total Downloads

84.5K

Supported Platforms

linux-64
macOS-64
win-64