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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.11.3 |
rolling linux/jammy R-4.5 | CEC_0.11.3.tar.gz |
1.1 MiB |
0.11.3 |
rolling linux/noble R-4.5 | CEC_0.11.3.tar.gz |
1.1 MiB |
0.11.3 |
rolling source/ R- | CEC_0.11.3.tar.gz |
1.0 MiB |
0.11.3 |
latest linux/jammy R-4.5 | CEC_0.11.3.tar.gz |
1.1 MiB |
0.11.3 |
latest linux/noble R-4.5 | CEC_0.11.3.tar.gz |
1.1 MiB |
0.11.3 |
latest source/ R- | CEC_0.11.3.tar.gz |
1.0 MiB |
0.11.3 |
2026-04-26 source/ R- | CEC_0.11.3.tar.gz |
1.0 MiB |
0.11.3 |
2026-04-23 source/ R- | CEC_0.11.3.tar.gz |
1.0 MiB |
0.11.3 |
2026-04-09 windows/windows R-4.5 | CEC_0.11.3.zip |
1.2 MiB |
0.11.2 |
2025-04-20 source/ R- | CEC_0.11.2.tar.gz |
1.0 MiB |