icl: ICL for an estimated Gaussian Mixture Model
In Japrin/mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Computes the ICL (Integrated Complete-data Likelihood) for criterion for a Gaussian Mixture Model fitted by Mclust.
Usage
1
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
1
2
Japrin/mclust documentation built on Nov. 18, 2019, 5:21 a.m.
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Description Usage Arguments Value References See Also Examples
Description
Computes the ICL (Integrated Complete-data Likelihood) for criterion for a Gaussian Mixture Model fitted by Mclust.
Usage
1 |
Arguments
object |
An object of class |
... |
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
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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