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>
License: GPL-2
NeedsCompilation: yes
In views: Cluster
CRAN checks: cclust results


Reference manual: cclust.pdf


Package source: cclust_0.6-26.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.