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 (dis)similarity relations (or matrices). There are several iterative re-assignment 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: 2.1-0
Depends: cluster, labdsv, MASS, plotrix
Suggests: tree
Published: 2013-01-22
Author: David W. Roberts
Maintainer: David W. Roberts <droberts at montana.edu>
License: GPL (≥ 2)
URL: http://ecology.msu.montana.edu/labdsv/R
NeedsCompilation: yes
In views: Cluster
CRAN checks: optpart results

Downloads:

Package source: optpart_2.1-0.tar.gz
MacOS X binary: optpart_2.1-0.tgz
Windows binary: optpart_2.1-0.zip
Reference manual: optpart.pdf
News/ChangeLog:ChangeLog
Old sources: optpart archive