Cluster Analysis via Nonparametric Density Estimation

Documentation for package ‘pdfCluster’ version 1.0-4

pdfCluster-package	The pdfCluster package: summary information
adj.rand.index	Adjusted Rand index
dbs	Density-based silhouette information methods
dbs-class	Class "dbs"
dbs-method	Density-based silhouette information methods
dbs-methods	Density-based silhouette information methods
groups	Extracts groups
h.norm	Normal optimal choice of smoothing parameter in density estimation
hprop2f	Sample smoothing parameters in adaptive density estimation
kepdf	Kernel estimate of a probability density function.
kepdf-class	Class "kepdf"
oliveoil	Olive oil data
pdfClassification	Classification of low density data
pdfCluster	Clustering via nonparametric density estimation
pdfCluster-class	Class "pdfCluster"
pdfCluster-method	Clustering via nonparametric density estimation
pdfCluster-methods	Clustering via nonparametric density estimation
plot-method	Plot objects of class dbs
plot-method	Plot objects of class kepdf
plot-method	Plot objects of class pdfCluster
plot-methods	Methods for function plot
plot.dbs	Plot objects of class dbs
plot.kepdf	Plot objects of class kepdf
plot.pdfCluster	Plot objects of class pdfCluster
show-method	Class "dbs"
show-method	Class "kepdf"
show-method	Class "pdfCluster"
show-methods	Methods for Function show
summary-method	Methods for Function summary
summary-methods	Methods for Function summary
summary.dbs	Class "dbs"
summary.kepdf	Class "kepdf"
summary.pdfCluster	Class "pdfCluster"
wine	Wine data