ICL: ICL criterion
In VarSelLCM: Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values
ICL R Documentation
ICL criterion
Description
This function gives the ICL criterion for an instance of VSLCMresults.
Usage
ICL(object)
Arguments
object
VSLCMresults
References
Biernacki, C., Celeux, G., and Govaert, G. (2000). Assessing a mixture model for clustering with the integrated completed likelihood. IEEE transactions on pattern analysis and machine intelligence, 22(7), 719-725.
Examples
# Data loading:
data(heart)
# Cluster analysis without variable selection
res <- VarSelCluster(heart[,-13], 2, vbleSelec = FALSE)
# Get the ICL value
ICL(res)
VarSelLCM documentation built on Sept. 19, 2025, 3:01 p.m.
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| ICL | R Documentation |
ICL criterion
Description
This function gives the ICL criterion for an instance of VSLCMresults.
Usage
ICL(object)
Arguments
object |
|
References
Biernacki, C., Celeux, G., and Govaert, G. (2000). Assessing a mixture model for clustering with the integrated completed likelihood. IEEE transactions on pattern analysis and machine intelligence, 22(7), 719-725.
Examples
# Data loading:
data(heart)
# Cluster analysis without variable selection
res <- VarSelCluster(heart[,-13], 2, vbleSelec = FALSE)
# Get the ICL value
ICL(res)
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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