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  1. Mahout
  2. MAHOUT-30

dirichlet process implementation

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Details

    • New Feature
    • Status: Closed
    • Major
    • Resolution: Fixed
    • None
    • 0.3
    • classic
    • None

    Description

      Copied over from original issue:

      > Further extension can also be made by assuming an infinite mixture model. The implementation is only slightly more difficult and the result is a (nearly)
      > non-parametric clustering algorithm.

      Attachments

        1. MAHOUT-30.patch
          33 kB
          Jeff Eastman
        2. MAHOUT-30b.patch
          45 kB
          Jeff Eastman
        3. MAHOUT-30c.patch
          72 kB
          Jeff Eastman
        4. MAHOUT-30d.patch
          66 kB
          Jeff Eastman
        5. MAHOUT-30e.patch
          70 kB
          Jeff Eastman
        6. dirichlet-2.tar
          690 kB
          Jeff Eastman
        7. screenshot-1.jpg
          149 kB
          Jeff Eastman
        8. MAHOUT-30f.patch
          143 kB
          Jeff Eastman

        Issue Links

          is part of

          New Feature - A new feature of the product, which has yet to be developed. MAHOUT-4 Simple prototype for Expectation Maximization (EM)

          • Major - Major loss of function.
          • Closed

          Activity

            People

              jeastman Jeff Eastman
              isabel Isabel Drost-Fromm
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              Dates

                Created:
                Updated:
                Resolved: