pdfCluster: Cluster analysis via nonparametric density estimation

Share:

The package performs cluster analysis via nonparametric density estimation. Operationally, the kernel method is used throughout to estimate the density. Diagnostics methods for evaluating the quality of the clustering are available. The package includes also a routine to estimate the probability density function obtained by the kernel method, given a set of data with arbitrary dimensions.

Author
Adelchi Azzalini, Giovanna Menardi for the current version; Adelchi Azzalini, Giovanna Menardi and Tiziana Rosolin up to version 0.1-13.
Date of publication
2014-04-30 13:06:41
Maintainer
Giovanna Menardi <menardi@stat.unipd.it>
License
GPL-2
Version
1.0-2

View on CRAN

Man pages

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

Files in this package

pdfCluster
pdfCluster/inst
pdfCluster/inst/CITATION
pdfCluster/inst/ChangeLog
pdfCluster/src
pdfCluster/src/nc.c
pdfCluster/src/kepdf.c
pdfCluster/src/macon.c
pdfCluster/NAMESPACE
pdfCluster/data
pdfCluster/data/oliveoil.rda
pdfCluster/data/wine.rda
pdfCluster/R
pdfCluster/R/pdfCluster.R
pdfCluster/R/zzz.R
pdfCluster/MD5
pdfCluster/DESCRIPTION
pdfCluster/man
pdfCluster/man/summary-methods.Rd
pdfCluster/man/wine.Rd
pdfCluster/man/plot-methods.Rd
pdfCluster/man/dbs-class.Rd
pdfCluster/man/oliveoil.Rd
pdfCluster/man/kepdf.Rd
pdfCluster/man/pdfCluster.Rd
pdfCluster/man/dbs.Rd
pdfCluster/man/pdfClassification.Rd
pdfCluster/man/kepdf-class.Rd
pdfCluster/man/plot.kepdf.Rd
pdfCluster/man/plot.dbs.Rd
pdfCluster/man/h.norm.Rd
pdfCluster/man/groups.Rd
pdfCluster/man/hprop2f.Rd
pdfCluster/man/adj.rand.index.Rd
pdfCluster/man/pdfCluster-package.Rd
pdfCluster/man/pdfCluster-class.Rd
pdfCluster/man/plot.pdfCluster.Rd
pdfCluster/man/show-methods.Rd