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: 0.6-23
Imports: stats
Published: 2021-11-16
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_0.6-23.tar.gz
Windows binaries: r-devel: cclust_0.6-23.zip, r-devel-UCRT: cclust_0.6-23.zip, r-release: cclust_0.6-23.zip, r-oldrel: cclust_0.6-23.zip
macOS binaries: r-release (arm64): cclust_0.6-23.tgz, r-release (x86_64): cclust_0.6-23.tgz, r-oldrel: cclust_0.6-23.tgz
Old sources: cclust archive

Reverse dependencies:

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

Linking:

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