summary.MSclust: Summary for MSclust

In MSclust: Multiple-Scaled Clustering

Summary for MSclust

Description

Summarizes main information regarding a MSclust object.

Usage

## S3 method for class 'MSclust'
summary(object, ...)

Arguments

object	A MSclust object.
...	Arguments to be passed to methods, such as graphical parameters.

Details

Information includes clustering table, total outliers, outliers per cluster, mixing proportions, component means and variances.

Value

No return value, called to summarize the fitted model's results

Examples

## Not run: 
## Not run: 
data(sim)
result <- mscn(X = sim, k = 2, initialization = "kmeans", method = "BFGS")
summary(result)
## End(Not run)
## End(Not run) 

MSclust documentation built on May 29, 2024, 5:13 a.m.