mclust (version 5.0.2)

summary.MclustDR: Summarizing dimension reduction method for model-based clustering and classification

Description

Summary method for class "MclustDR".

Usage

## S3 method for class 'MclustDR':
summary(object, numdir, std = FALSE, \dots)
## S3 method for class 'summary.MclustDR':
print(x, digits = max(5, getOption("digits") - 3), ...)

Arguments

object

An object of class 'MclustDR' resulting from a call to MclustDR.

x

An object of class 'summary.MclustDR', usually, a result of a call to summary.MclustDR.

numdir

An integer providing the number of basis directions to be printed.

std

if TRUE the coefficients basis are scaled such that all predictors have unit standard deviation.

digits

The number of significant digits to use when printing.

...

Further arguments passed to or from other methods.

References

Scrucca, L. (2010) Dimension reduction for model-based clustering. Statistics and Computing, 20(4), pp. 471-484.

See Also

MclustDR, plot.MclustDR