summary.clustEff {clustEff} R Documentation

## Summary clustEff algorithm

### Description

Summary of an object of class “clustEff”.

### Usage

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


### Arguments

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

### Details

A summary of the clustering algorithm is printed.

### 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.

### Author(s)

Gianluca Sottile gianluca.sottile@unipa.it

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