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 |