LICORS: compute_NEC – R documentation

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compute_NEC

Compute Negative Entropy Criterion (NEC)

Description

Computes the negative entropy criterion (NEC) to assess the number of clusters in a mixture model. See References for details.

Usage

compute_NEC(weight.matrix, loglik.1 = NULL, loglik.k = NULL)

Arguments

`weight.matrix`	N \times K weight matrix
`loglik.1`	baseline log-likelihood for K=1 cluster model
`loglik.k`	log-likelihood for K cluster model

References

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”. Non-Linear Anal. 20, 3, 267-272.

Examples

WW <- matrix(c(rexp(10, 1/10), runif(10)), ncol = 5, byrow = FALSE)
WW <- normalize(WW)
compute_NEC(WW, -2, -1)

LICORS

Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data

v0.2.0

GPL-2

Authors

Georg M. Goerg <gmg@stat.cmu.edu>

Initial release

2013-11-20