Active function crossentropy clustering partitions the ndimensional 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 ndimensional 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 abovementioned generalization is performed by introducing so called "fadapted Gaussian densities" (i.e. the ordinary Gaussian densities adapted by the "active function"). Additionally, the active function crossentropy clustering performs the automatic reduction of the unnecessary clusters. For more information please refer to P. Spurek, J. Tabor, K.Byrski, "Active function CrossEntropy Clustering" (2017) <doi:10.1016/j.eswa.2016.12.011>.
Package details 


Author  Krzysztof Byrski [aut, cre], Przemyslaw Spurek [ctb] 
Maintainer  Krzysztof Byrski <krzysiek.byrski@uj.edu.pl> 
License  GPL (>= 2) 
Version  1.0.2 
URL  https://github.com/GeigenPrinzipal/afCEC 
Package repository  View on CRAN 
Installation 
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