pdfCluster: Cluster analysis via nonparametric density estimation

The package performs cluster analysis via kernel density estimation. Clusters are associated to the maximally connected components with estimated density above a threshold. Diagnostics methods for evaluating the quality of clustering are also available. The package includes also a routine to estimate the probability density function by the kernel method, given a set of data with arbitrary dimensions.

Version: 0.1-13
Depends: methods, geometry
Published: 2011-08-22
Author: Adelchi Azzalini, Giovanna Menardi, Tiziana Rosolin
Maintainer: Giovanna Menardi <menardi at stat.unipd.it>
License: GPL-2
Citation: pdfCluster citation info
In views: Cluster
CRAN checks: pdfCluster results

Downloads:

Package source: pdfCluster_0.1-13.tar.gz
MacOS X binary: pdfCluster_0.1-13.tgz
Windows binary: pdfCluster_0.1-13.zip
Reference manual: pdfCluster.pdf
Old sources: pdfCluster archive