groups: Extracts groups

In pdfCluster: Cluster Analysis via Nonparametric Density Estimation

Extracts groups

Description

Extracts the detected groups from objects of pdfCluster-class.

Usage

groups(obj, stage = length(obj@stages))

Arguments

obj	An object of pdfCluster-class
stage	The stage of classification at which the clusters have to be extracted. Set this value to 0 to extract the cluster cores. Default value is the total number of classification stages, that is, the final partition is given. When obj contains the clusters cores only, these are given by default.

Details

This function is an user-friendly version of command obj@clusters, now obsolete, to ease extraction of groups from objects of pdfCluster-class.

Value

A numeric vector containing the group labels. NA values are associated to points not classified at the selected stage of the classification procedure.

See Also

pdfCluster

Examples

# load data
data(wine)

# select a subset of variables
x <- wine[, c(2, 5, 8)]

#clustering
cl <- pdfCluster(x)

groups(cl)

#equivalent to:
cl@clusters

#to extract the cluster cores
groups(cl, stage = 0)

pdfCluster documentation built on Dec. 2, 2022, 5:14 p.m.