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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: 0.6-26
Imports: stats
Published: 2023-05-02
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.pdf

Downloads:

Package source: cclust_0.6-26.tar.gz
Windows binaries: r-devel: cclust_0.6-26.zip, r-release: cclust_0.6-26.zip, r-oldrel: cclust_0.6-26.zip
macOS binaries: r-release (arm64): cclust_0.6-26.tgz, r-oldrel (arm64): cclust_0.6-26.tgz, r-release (x86_64): cclust_0.6-26.tgz, r-oldrel (x86_64): cclust_0.6-26.tgz
Old sources: cclust archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cclust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.