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: |
0.12.0 |
| Imports: |
graphics, methods, stats |
| Suggests: |
covr, testthat (≥ 3.0.0) |
| Published: |
2026-08-31 |
| DOI: |
10.32614/CRAN.package.CEC |
| Author: |
Kamieniecki Konrad [aut, cph],
Spurek Przemyslaw [ctb],
Simon Garnier 
[cre, ctb, cph] |
| 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 [issues need fixing before 2026-09-18] |
Documentation:
Downloads:
Reverse dependencies:
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