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https://issues.apache.org/jira/browse/MAHOUT-29?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12586848#action_12586848
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Ted Dunning commented on MAHOUT-29:
-----------------------------------
The umacs package in R provides a very nice implementation of an integrated
Gibbs and Metropolis framework.
http://cran.r-project.org/web/packages/Umacs/index.html
> Gibb's sampling implementation
> ------------------------------
>
> Key: MAHOUT-29
> URL: https://issues.apache.org/jira/browse/MAHOUT-29
> Project: Mahout
> Issue Type: New Feature
> Reporter: Isabel Drost
>
> Copied over from original issue:
> > EM clustering can also be changed very slightly by assigning points to
> > single clusters chosen at random according to the probability of
> > membership. This
> > turns EM clustering into Gibb's sampling. The important property that is
> > changed is that you now can sample over the distribution of possible
> > samplings
> > which can be very important if some parts of your data are well defined and
> > some parts not so well defined.
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