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.


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install.packages("mcclust")

1.0 by Arno Fritsch, 8 years ago


Browse source code at https://github.com/cran/mcclust


Authors: Arno Fritsch


Documentation:   PDF Manual  


Task views: Cluster Analysis & Finite Mixture Models


GPL (>= 2) license


Depends on lpSolve


Imported by semiArtificial.

Depended on by BCSub, BClustLonG, CSclone, effectFusion.

Suggested by IMIFA, mixdir.


See at CRAN