clustEff (version 0.3.1)

summary.clustEff: Summary clustEff algorithm

Description

Summary of an object of class “clustEff”.

Usage

# S3 method for clustEff
summary(object, ...)

Value

The following items is returned:

k

The number of selected clusters.

n

The number of observations.

p

The number of curves.

step

The selected step for computing the dissimilarity matrix.

alpha

The alpha-percentile used for computing the dissimilarity matrix.

method

The selected method to compute the hierarchical cluster analysis.

cut.method

The selected method to choose the best number of clusters.

tabClust

The table of clusters.

avClust

The average distance within clusters.

avSilhouette

Silhouette widths for clusters.

avDiss

The average dissimilarity measure within clusters.

Arguments

object

An object of class “clustEff”, the result of a call to clustEff.

...

for future methods.

Author

Gianluca Sottile

Details

A summary of the clustering algorithm is printed.

See Also

clustEff, for cluster algorithmextract.object for extracting information through a quantile regression coefficient modeling in a multivariate case and plotting objects of class “clustEff”.

Examples

# using simulated data

# see the documentation for 'clustEff'