Cross-Entropy Clustering R package CEC version 0.11.3 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>. Software Imports: graphics, methods, stats, utils Suggests: covr Simon Garnier <garnier@njit.edu> Comprehensive R Archive Network (CRAN) Kamieniecki Konrad [aut], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb] (ORCID: <https://orcid.org/0000-0002-3886-3974>) GPL-3 2026-02-04 application/tgz https://CRAN.R-project.org/package=CEC doi:10.32614/CRAN.package.CEC