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.


Reference manual

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1.0 by Arno Fritsch, 9 years ago

Browse source code at

Authors: Arno Fritsch

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models

GPL (>= 2) license

Depends on lpSolve

Imported by AntMAN, semiArtificial.

Depended on by BCSub, BClustLonG, CSclone, effectFusion.

Suggested by IMIFA, mixdir.

See at CRAN