mcclust: Process an MCMC Sample of Clusterings

Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.

Version: 1.0
Depends: R (≥ 2.10), lpSolve
Published: 2012-07-23
Author: Arno Fritsch
Maintainer: Arno Fritsch <arno.fritsch at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Cluster
CRAN checks: mcclust results


Reference manual: mcclust.pdf
Package source: mcclust_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: mcclust_1.0.tgz, r-oldrel: mcclust_1.0.tgz
OS X Mavericks binaries: r-release: mcclust_1.0.tgz