icl: ICL for an estimated Gaussian Mixture Model

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

ICL for an estimated Gaussian Mixture Model

Description

Computes the ICL (Integrated Complete-data Likelihood) for criterion for a Gaussian Mixture Model fitted by Mclust.

Usage

icl(object, ...)

Arguments

object	An object of class 'Mclust' resulting from a call to Mclust.
...	Further arguments passed to or from other methods.

Value

The ICL for the given input MCLUST model.

References

Biernacki, C., Celeux, G., Govaert, G. (2000). Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Analysis and Machine Intelligence, 22 (7), 719-725.

See Also

Mclust, mclustBIC, mclustICL, bic.

Examples

mod <- Mclust(iris[,1:4])
icl(mod)

mclust documentation built on Nov. 16, 2023, 5:10 p.m.