CLC: Classification Likelihood Criterion

In rebmix: Finite Mixture Modeling, Clustering & Classification

Classification Likelihood Criterion

Description

Returns the classification likelihood criterion at pos.

Usage

## S4 method for signature 'REBMIX'
CLC(x = NULL, pos = 1, ...)
## ... and for other signatures

Arguments

x	see Methods section below.
pos	a desired row number in x@summary for which the information criterion is calculated. The default value is 1.
...	currently not used.

Methods

signature(x = "REBMIX")

an object of class REBMIX.

signature(x = "REBMVNORM")

an object of class REBMVNORM.

Author(s)

Marko Nagode

References

C. Biernacki and G. Govaert. Using the classification likelihood to choose the number of clusters. In E. J. Wegman and S. P. Azen, editors, Computing Science and Statistics, 1997.

rebmix documentation built on July 26, 2023, 5:32 p.m.