| 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 “ |
... |
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
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'