CEC: Cross-Entropy Clustering

Cross-Entropy Clustering (CEC) divides the data into Gaussian type clusters. It performs the automatic reduction of unnecessary clusters, while at the same time allows the simultaneous use of various type Gaussian mixture models.

Version: 0.10.1
Imports: graphics, methods, stats, utils
Published: 2018-07-09
Author: Konrad Kamieniecki [aut, cre], Przemyslaw Spurek [ctb]
Maintainer: Konrad Kamieniecki <konrad.kamieniecki at alumni.uj.edu.pl>
License: GPL-3
URL: https://github.com/azureblue/cec
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
In views: Cluster
CRAN checks: CEC results


Reference manual: CEC.pdf
Package source: CEC_0.10.1.tar.gz
Windows binaries: r-devel: CEC_0.10.1.zip, r-release: CEC_0.10.1.zip, r-oldrel: CEC_0.10.1.zip
OS X binaries: r-release: CEC_0.9.4.tgz, r-oldrel: CEC_0.9.4.tgz
Old sources: CEC archive


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