cclust: Convex Clustering Methods and Clustering Indexes

Convex Clustering methods, including Kmeans 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: 0.6-16
Depends: stats
Published: 2009-09-18
Author: Evgenia Dimitriadou
Maintainer: Evgenia Dimitriadou <dimi at ci.tuwien.ac.at>
License: GPL-2
In views: Cluster
CRAN checks: cclust results

Downloads:

Package source: cclust_0.6-16.tar.gz
MacOS X binary: cclust_0.6-16.tgz
Windows binary: cclust_0.6-16.zip
Reference manual: cclust.pdf
Old sources: cclust archive

Reverse dependencies:

Reverse enhances: clue