summary.MclustSSC: Summarizing semi-supervised classification model based on...

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Summarizing semi-supervised classification model based on Gaussian finite mixtures

Description

Summary method for class "MclustSSC".

Usage

## S3 method for class 'MclustSSC'
summary(object, parameters = FALSE, ...)
## S3 method for class 'summary.MclustSSC'
print(x, digits = getOption("digits"), ...)

Arguments

object	An object of class 'MclustSSC' resulting from a call to MclustSSC.
x	An object of class 'summary.MclustSSC', usually, a result of a call to summary.MclustSSC.
parameters	Logical; if TRUE, the parameters of mixture components are printed.
digits	The number of significant digits to use when printing.
...	Further arguments passed to or from other methods.

Value

The function summary.MclustSSC computes and returns a list of summary statistics of the estimated MclustSSC model for semi-supervised classification.

Author(s)

Luca Scrucca

See Also

MclustSSC, plot.MclustSSC.

mclust documentation built on Nov. 16, 2023, 5:10 p.m.