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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: 0.2-15
Depends: R (≥ 4.0.0), MASS, Matrix, methods
Enhances: RColorBrewer
Published: 2023-09-05
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

Documentation:

Reference manual: EMCluster.pdf
Vignettes: EMCluster-guide

Downloads:

Package source: EMCluster_0.2-15.tar.gz
Windows binaries: r-devel: EMCluster_0.2-15.zip, r-release: EMCluster_0.2-15.zip, r-oldrel: EMCluster_0.2-15.zip
macOS binaries: r-release (arm64): EMCluster_0.2-15.tgz, r-oldrel (arm64): EMCluster_0.2-15.tgz, r-release (x86_64): EMCluster_0.2-15.tgz, r-oldrel (x86_64): EMCluster_0.2-15.tgz
Old sources: EMCluster archive

Reverse dependencies:

Reverse imports: MixfMRI
Reverse suggests: cubfits, Evacluster, FCPS, fdapace, plotmm

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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