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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: 0.11.2
Imports: graphics, methods, stats, utils
Suggests: covr
Published: 2024-10-10
DOI: 10.32614/CRAN.package.CEC
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
Materials: README NEWS
CRAN checks: CEC results

Documentation:

Reference manual: CEC.pdf

Downloads:

Package source: CEC_0.11.2.tar.gz
Windows binaries: r-devel: CEC_0.11.2.zip, r-release: CEC_0.11.2.zip, r-oldrel: CEC_0.11.2.zip
macOS binaries: r-release (arm64): CEC_0.11.2.tgz, r-oldrel (arm64): CEC_0.11.2.tgz, r-release (x86_64): CEC_0.11.2.tgz, r-oldrel (x86_64): CEC_0.11.2.tgz
Old sources: CEC archive

Reverse dependencies:

Reverse suggests: FCPS

Linking:

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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.