mclust (version 3.4.7)

summary.mclustDAtrain: Models and classifications from mclustDAtrain

Description

Extracts the models selected in mclustDAtrain and the corresponding classfications.

Usage

## S3 method for class 'mclustDAtrain':
summary(object, \dots)

Arguments

object

The output of mclustDAtrain.

...

Not used. For generic/method consistency.

Value

• A list identifying the model selected by mclustDAtrain for each class of training data and the corresponding classification.

References

C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631.

C. Fraley and A. E. Raftery (2006). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.

See Also

mclustDAtrain

Examples

odd <- seq(1, nrow(cross), by = 2)
train <- mclustDAtrain(cross[odd,-1], labels = cross[odd,1]) 
summary(train)