mclust (version 3.5)

summary.mclustModel: Summary Function for MCLUST Models

Description

Classification and uncertainty for a mixture models as output by mclustModel.

Usage

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

Arguments

object

An "mclustModel" object.

...

Not used. For generic/method consistency.

Value

• A data frame giving the classification and uncertainty corresponding to the model.

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

mclustModel

Examples

irisBIC <- mclustBIC(iris[,-5])
irisModel <- mclustModel(iris[,-5], irisBIC)
summary(irisModel)