CEC: Cross-Entropy Clustering

Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. 'CEC' is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.

Version: 0.11.0
Imports: graphics, methods, stats, utils
Published: 2022-12-13
Author: Kamieniecki Konrad [aut], Spurek Przemyslaw [ctb], Simon Garnier ORCID iD [cre, ctb]
Maintainer: Simon Garnier <garnier at njit.edu>
License: GPL-3
URL: https://github.com/swarm-lab/cec, https://swarm-lab.github.io/cec/
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: CEC results


Reference manual: CEC.pdf


Package source: CEC_0.11.0.tar.gz
Windows binaries: r-devel: CEC_0.11.0.zip, r-release: CEC_0.11.0.zip, r-oldrel: CEC_0.11.0.zip
macOS binaries: r-release (arm64): CEC_0.11.0.tgz, r-oldrel (arm64): CEC_0.11.0.tgz, r-release (x86_64): CEC_0.11.0.tgz, r-oldrel (x86_64): CEC_0.11.0.tgz
Old sources: CEC archive

Reverse dependencies:

Reverse suggests: FCPS


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