pdfCluster: Cluster Analysis via Nonparametric Density Estimation

Cluster analysis via nonparametric density estimation is performed. 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.

Version: 1.0-3
Imports: geometry, methods
Suggests: cluster
Published: 2018-12-04
Author: Adelchi Azzalini, Giovanna Menardi for the current version; Adelchi Azzalini, Giovanna Menardi and Tiziana Rosolin up to version 0.1-13.
Maintainer: Giovanna Menardi <menardi at stat.unipd.it>
License: GPL-2
NeedsCompilation: yes
Citation: pdfCluster citation info
Materials: ChangeLog
In views: Cluster
CRAN checks: pdfCluster results


Reference manual: pdfCluster.pdf


Package source: pdfCluster_1.0-3.tar.gz
Windows binaries: r-devel: pdfCluster_1.0-3.zip, r-devel-UCRT: pdfCluster_1.0-3.zip, r-release: pdfCluster_1.0-3.zip, r-oldrel: pdfCluster_1.0-3.zip
macOS binaries: r-release (arm64): pdfCluster_1.0-3.tgz, r-release (x86_64): pdfCluster_1.0-3.tgz, r-oldrel: pdfCluster_1.0-3.tgz
Old sources: pdfCluster archive

Reverse dependencies:

Reverse imports: ftsa
Reverse suggests: FCPS, fpc


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