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 tu-dortmund.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| In views: |
Cluster |
| CRAN checks: |
mcclust results |
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