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:	1.0-4
Imports:	geometry, methods
Suggests:	cluster
Published:	2022-12-02
DOI:	10.32614/CRAN.package.pdfCluster
Author:	Menardi Giovanna [aut, cre], Azzalini Adelchi [aut], Rosolin Tiziana [ctb] (up to version 0.1-13)
Maintainer:	Menardi Giovanna <menardi at stat.unipd.it>
License:	GPL-2
NeedsCompilation:	yes
Language:	en-US
Citation:	pdfCluster citation info
Materials:	NEWS, ChangeLog
In views:	Cluster
CRAN checks:	pdfCluster results

Documentation:

Reference manual:

pdfCluster.html , pdfCluster.pdf

Downloads:

Package source:	pdfCluster_1.0-4.tar.gz
Windows binaries:	r-devel: pdfCluster_1.0-4.zip, r-release: pdfCluster_1.0-4.zip, r-oldrel: pdfCluster_1.0-4.zip
macOS binaries:	r-release (arm64): pdfCluster_1.0-4.tgz, r-oldrel (arm64): pdfCluster_1.0-4.tgz, r-release (x86_64): pdfCluster_1.0-4.tgz, r-oldrel (x86_64): pdfCluster_1.0-4.tgz
Old sources:	pdfCluster archive

Reverse dependencies:

Reverse depends:	omada
Reverse imports:	ftsa
Reverse suggests:	FCPS, fpc

Linking:

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