Man pages for pdfCluster
Cluster Analysis via Nonparametric Density Estimation
| adj.rand.index | Adjusted Rand index |
| dbs | Density-based silhouette information methods |
| dbs-class | Class "dbs" |
| groups | Extracts groups |
| h.norm | Normal optimal choice of smoothing parameter in density... |
| 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-package | The pdfCluster package: summary information |
| plot.dbs | Plot objects of class dbs |
| plot.kepdf | Plot objects of class kepdf |
| plot-methods | Methods for function plot |
| plot.pdfCluster | Plot objects of class pdfCluster |
| show-methods | Methods for Function show |
| summary-methods | Methods for Function summary |
| wine | Wine data |
