EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

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.


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  • Author: Wei-Chen Chen and Ranjan Maitra

EMCluster is an R package providing 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

EMCluster requires

  • R version 3.0.0 or higher.
  • R package MASS, Matrix.

The package can be installed from the CRAN via the usual install.packages("EMCluster"), or via the devtools package:

library(devtools)
install_github("snoweye/EMCluster")

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Reference manual

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install.packages("EMCluster")

0.2-12 by Wei-Chen Chen, 4 months ago


https://github.com/snoweye/EMCluster


Report a bug at https://github.com/snoweye/EMCluster/issues


Browse source code at https://github.com/cran/EMCluster


Authors: Wei-Chen Chen [aut, cre] , Ranjan Maitra [aut] , Volodymyr Melnykov [ctb] , Dan Nettleton [ctb] , David Faden [ctb] , Rouben Rostamian [ctb] , R Core team [ctb] (some functions are modified from the R source code)


Documentation:   PDF Manual  


Task views: Cluster Analysis & Finite Mixture Models


Mozilla Public License 2.0 license


Depends on MASS, Matrix

Enhances PPtree, RColorBrewer


Imported by MixfMRI.

Suggested by cubfits, fdapace.

Enhanced by pbdDEMO.


See at CRAN