An object of class <code>"Mclust"</code> resulting from a call to <code><a href="/link/Mclust?package=mclust&version=4.1" rd-options="" data-mini-rdoc="mclust::Mclust">Mclust</a></code>.

object

Further arguments passed to or from other methods.

Computes the ICL (Integrated Complete-data Likelihood) for criterion for a Gaussian Mixture Model fitted by <code><a href="/link/Mclust?package=mclust&version=4.1" rd-options="" data-mini-rdoc="mclust::Mclust">Mclust</a></code>.

cluster

Normal Mixture Modeling fitted via EM algorithm for
        Model-Based Clustering, Classification, and Density Estimation,
        including Bayesian regularization.

Luca Scrucca

mclust

Normal Mixture Modeling for Model-Based Clustering,
        Classification, and Density Estimation

icl function

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. C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012).
 mclust Version 4 for R: Normal Mixture Modeling for Model-Based 
 Clustering, Classification, and Density Estimation. 
 Technical Report No. 597, Department of Statistics, University of Washington.

icl: ICL for an estimated Gaussian Mixture Model

Description

Usage

Arguments

Value

References

See Also

Examples