R: Cluster Analysis via Nonparametric Density Estimation

# Cluster Analysis via Nonparametric Density Estimation

## Documentation for package ‘pdfCluster’ version 1.0-4

- DESCRIPTION file
- Package NEWS

## Help Pages

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