Active function cross-entropy clustering partitions the n-dimensional data into the clusters by finding the parameters of the mixed generalized multivariate normal distribution, that optimally approximates the scattering of the data in the n-dimensional space, whose density function is of the form: p_1*N(mi_1,^sigma_1,sigma_1,f_1)+...+p_k*N(mi_k,^sigma_k,sigma_k,f_k). The above-mentioned generalization is performed by introducing so called "f-adapted Gaussian densities" (i.e. the ordinary Gaussian densities adapted by the "active function"). Additionally, the active function cross-entropy clustering performs the automatic reduction of the unnecessary clusters. For more information please refer to P. Spurek, J. Tabor, K.Byrski, "Active function Cross-Entropy Clustering" (2017) <doi:10.1016/j.eswa.2016.12.011>.

Version: | 1.0.2 |

Depends: | R (≥ 2.10), graphics, rgl |

LinkingTo: | Rcpp, RcppArmadillo |

Published: | 2018-01-04 |

Author: | Krzysztof Byrski [aut, cre], Przemyslaw Spurek [ctb] |

Maintainer: | Krzysztof Byrski <krzysiek.byrski at uj.edu.pl> |

License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

URL: | https://github.com/GeigenPrinzipal/afCEC |

NeedsCompilation: | yes |

Materials: | README |

CRAN checks: | afCEC results |

Reference manual: | afCEC.pdf |

Package source: | afCEC_1.0.2.tar.gz |

Windows binaries: | r-prerelease: afCEC_1.0.2.zip, r-release: afCEC_1.0.2.zip, r-oldrel: afCEC_1.0.2.zip |

macOS binaries: | r-prerelease: afCEC_1.0.2.tgz, r-release: afCEC_1.0.2.tgz, r-oldrel: afCEC_1.0.2.tgz |

Old sources: | afCEC archive |

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