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: |
lpSolve |
| Published: |
2009-05-25 |
| Author: |
Arno Fritsch |
| Maintainer: |
Arno Fritsch <arno.fritsch at tu-dortmund.de> |
| License: |
GPL (≥ 2) |
| In views: |
Cluster |
| CRAN checks: |
mcclust results |
Downloads: