R: ICL for an estimated Gaussian Mixture Model

icl {mclust} | R Documentation

## 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)

[Package mclust version 5.4.5 Index]