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: | 0.2-12 |
Depends: | R (≥ 3.0.1), MASS, Matrix |
Enhances: | PPtree, RColorBrewer |
Published: | 2019-03-22 |
Author: | 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) |
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_0.2-12.tar.gz |
Windows binaries: | r-devel: EMCluster_0.2-12.zip, r-release: EMCluster_0.2-12.zip, r-oldrel: EMCluster_0.2-12.zip |
macOS binaries: | r-release: EMCluster_0.2-12.tgz, r-oldrel: EMCluster_0.2-12.tgz |
Old sources: | EMCluster archive |
Reverse imports: | MixfMRI |
Reverse suggests: | cubfits, FCPS, fdapace, plotmm |
Please use the canonical form https://CRAN.R-project.org/package=EMCluster to link to this page.