EMCluster: 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.

Version: 0.2-8
Depends: R (≥ 3.0.1), MASS, Matrix
Enhances: PPtree, RColorBrewer
Published: 2017-08-26
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb]
Maintainer: Wei-Chen Chen <wccsnow at gmail.com>
BugReports: https://github.com/snoweye/EMCluster/issues
License: Mozilla Public License 2.0
URL: https://github.com/snoweye/EMCluster
NeedsCompilation: yes
Citation: EMCluster citation info
Materials: README ChangeLog INSTALL
In views: Cluster
CRAN checks: EMCluster results


Reference manual: EMCluster.pdf
Vignettes: EMCluster-guide
Package source: EMCluster_0.2-8.tar.gz
Windows binaries: r-devel: EMCluster_0.2-8.zip, r-release: EMCluster_0.2-8.zip, r-oldrel: EMCluster_0.2-8.zip
OS X El Capitan binaries: r-release: EMCluster_0.2-8.tgz
OS X Mavericks binaries: r-oldrel: EMCluster_0.2-8.tgz
Old sources: EMCluster archive

Reverse dependencies:

Reverse suggests: cubfits
Reverse enhances: pbdDEMO


Please use the canonical form https://CRAN.R-project.org/package=EMCluster to link to this page.