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 suggests: | cubfits |
Reverse enhances: | pbdDEMO |