pdfCluster: Cluster analysis via nonparametric density estimation

The package performs cluster analysis via non-parametric density estimation. Operationally, the kernel method is used througout to estimate the density. Diagnostics methods for evaluating the quality of clustering are 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: 1.0-0
Depends: methods, geometry
Suggests: cluster
Published: 2012-06-05
Author: Adelchi Azzalini, Giovanna Menardi, Tiziana Rosolin
Maintainer: Giovanna Menardi <menardi at stat.unipd.it>
License: GPL-2
NeedsCompilation: yes
Citation: pdfCluster citation info
In views: Cluster
CRAN checks: pdfCluster results

Downloads:

Package source: pdfCluster_1.0-0.tar.gz
MacOS X binary: pdfCluster_1.0-0.tgz
Windows binary: pdfCluster_1.0-0.zip
Reference manual: pdfCluster.pdf
Vignettes: User manual
Old sources: pdfCluster archive