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: 0.6-19
Imports: stats
Published: 2014-10-08
Author: Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre]
Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org>
License: GPL-2
NeedsCompilation: yes
Citation: NA
Materials: NA
In views: Cluster
CRAN checks: cclust results

Downloads:

Reference manual: cclust.pdf
Package source: cclust_0.6-19.tar.gz
Windows binaries: r-devel: cclust_0.6-19.zip, r-release: cclust_0.6-19.zip, r-oldrel: cclust_0.6-19.zip
OS X Snow Leopard binaries: r-release: cclust_0.6-19.tgz, r-oldrel: cclust_0.6-19.tgz
OS X Mavericks binaries: r-release: cclust_0.6-19.tgz
Old sources: cclust archive

Reverse dependencies:

Reverse depends: MOCCA
Reverse enhances: clue