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: 0.6-21
Imports: stats
Published: 2017-01-17
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_0.6-21.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: cclust_0.6-21.tgz
OS X Mavericks binaries: r-oldrel: cclust_0.6-21.tgz
Old sources: cclust archive

Reverse dependencies:

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


Please use the canonical form to link to this page.