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: 0.2-5
Depends: R (≥ 3.0.1), MASS, Matrix
Enhances: PPtree, RColorBrewer
Published: 2015-10-19
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb]
Maintainer: Wei-Chen Chen <wccsnow at gmail.com>
License: Mozilla Public License 2.0
URL: http://maitra.public.iastate.edu/
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_0.2-5.tar.gz
Windows binaries: r-devel: EMCluster_0.2-5.zip, r-release: EMCluster_0.2-5.zip, r-oldrel: EMCluster_0.2-5.zip
OS X Snow Leopard binaries: r-release: EMCluster_0.2-5.tgz, r-oldrel: EMCluster_0.2-4.tgz
OS X Mavericks binaries: r-release: EMCluster_0.2-5.tgz
Old sources: EMCluster archive

Reverse dependencies:

Reverse suggests: cubfits
Reverse enhances: pbdDEMO