CEC (0.10.2)

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Cross-Entropy Clustering.


CEC divides data into Gaussian type clusters. The implementation allows the simultaneous use of various type Gaussian mixture models, performs the reduction of unnecessary clusters and it's able to discover new groups. Based on Spurek, P. and Tabor, J. (2014) .

Maintainer: Konrad Kamieniecki
Author(s): Konrad Kamieniecki [aut, cre], Przemyslaw Spurek [ctb]

License: GPL-3

Uses: Does not use any package

Released about 1 year ago.

5 previous versions



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