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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.
Package details |
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Author | Arno Fritsch |
Maintainer | Arno Fritsch <arno.fritsch@tu-dortmund.de> |
License | GPL (>= 2) |
Version | 1.0.1 |
Package repository | View on CRAN |
Installation |
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