optpart: Optimal partitioning of similarity relations

The package contains a set of algorithms for creating partitions and coverings of objects largely based on operations on similarity relations (or matrices). There are several iterative re-assigmnent algorithms optimizing different goodness-of-clustering criteria. In addition, there are covering algorithms "clique" which derives maximal cliques, and "maxpact" which creates a covering of maximally compact sets. Graphical analyses and conversion routines are also included.

Version: 2.0-1
Depends: cluster, labdsv, MASS, plotrix
Published: 2010-01-08
Author: David W. Roberts
Maintainer: David W. Roberts <droberts at montana.edu>
License: GPL (≥ 2)
URL: http://ecology.msu.montana.edu/labdsv/R
In views: Cluster
CRAN checks: optpart results

Downloads:

Package source: optpart_2.0-1.tar.gz
MacOS X binary: optpart_2.0-1.tgz
Windows binary: optpart_2.0-1.zip
Reference manual: optpart.pdf
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