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    • Type: New Feature New Feature
    • Status: Closed
    • Priority: Major Major
    • Resolution: Won't Fix
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: None
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      Description

      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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          Ted Dunning added a comment -

          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

          Show
          Ted Dunning added a comment - 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
          Hide
          Isabel Drost-Fromm added a comment -

          Gibbs sampling as yet another special case of EM.

          Show
          Isabel Drost-Fromm added a comment - Gibbs sampling as yet another special case of EM.

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            • Assignee:
              Unassigned
              Reporter:
              Isabel Drost-Fromm
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                Development