afCEC: Active Function Cross-Entropy Clustering

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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: afCEC results


Reference manual: afCEC.pdf
Package source: afCEC_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: afCEC_1.0.2.tgz, r-oldrel: afCEC_1.0.2.tgz
Old sources: afCEC archive


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