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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.
Getting started
Browse package contents
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 |
Install the latest version of this package by entering the following in R:
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