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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 [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 |
Reference manual: | CEC.pdf |
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 suggests: | FCPS |
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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.