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.

AuthorArno Fritsch
Date of publication2012-07-23 10:35:32
MaintainerArno Fritsch <>
LicenseGPL (>= 2)

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