cclust: Convex Clustering Methods and Clustering Indexes

Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.

Version:	0.6-27
Imports:	stats
Published:	2026-02-18
DOI:	10.32614/CRAN.package.cclust
Author:	Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Maintainer:	Kurt Hornik <Kurt.Hornik at R-project.org>
License:	GPL-2
NeedsCompilation:	yes
In views:	Cluster
CRAN checks:	cclust results

Documentation:

Reference manual:

cclust.html , cclust.pdf

Downloads:

Package source:	cclust_0.6-27.tar.gz
Windows binaries:	r-devel: cclust_0.6-27.zip, r-release: cclust_0.6-27.zip, r-oldrel: cclust_0.6-27.zip
macOS binaries:	r-release (arm64): cclust_0.6-27.tgz, r-oldrel (arm64): cclust_0.6-27.tgz, r-release (x86_64): cclust_0.6-27.tgz, r-oldrel (x86_64): cclust_0.6-27.tgz
Old sources:	cclust archive

Reverse dependencies:

Reverse depends:	MOCCA
Reverse suggests:	FCPS
Reverse enhances:	clue

Linking:

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