mcclust: Process an MCMC Sample of Clusterings (original) (raw)
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: | 1.0.1 |
|---|---|
| Depends: | R (≥ 2.10), lpSolve |
| Published: | 2022-05-02 |
| DOI: | 10.32614/CRAN.package.mcclust |
| 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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