Computes the negative entropy criterion (NEC) to assess the number of clusters in a mixture model. See References for details.
1  compute_NEC(weight.matrix, loglik.1 = NULL, loglik.k = NULL)

weight.matrix 
N \times K weight matrix 
loglik.1 
baseline loglikelihood for K=1 cluster model 
loglik.k 
loglikelihood for K cluster model 
Christophe Biernacki, Gilles Celeux, and G\'erand Govaert(1999). “An improvement of the NEC criterion for assessing the number of clusters in a mixture model”. NonLinear Anal. 20, 3, 267272.
compute_mixture_penalty
1 2 3 
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