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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 


Author  Arno Fritsch 
Date of publication  20120723 10:35:32 
Maintainer  Arno Fritsch <arno.fritsch@tudortmund.de> 
License  GPL (>= 2) 
Version  1.0 
Package repository  View on CRAN 
Installation 
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