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.
|Date of publication||2012-07-23 10:35:32|
|Maintainer||Arno Fritsch <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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