afCEC-package: Active Function Cross-Entropy Clustering
In afCEC: Active Function Cross-Entropy Clustering

Active Function Cross-Entropy Clustering (afCEC) 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. It's implemented in the form of a customizable function afCEC.