[jira] Updated: (MAHOUT-30) dirichlet process implementation

["Jeff Eastman (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-30?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jeff Eastman updated MAHOUT-30:
-------------------------------

    Status: Patch Available  (was: Open)

This patch is completely self-contained as it depends only upon the uncommons.math package for its distributions. I think this is ready to commit to trunk, after the release of course. The next steps will be to implement a M/R algorithm using this basic approach.

> dirichlet process implementation
> --------------------------------
>
>                 Key: MAHOUT-30
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-30
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Clustering
>            Reporter: Isabel Drost
>            Assignee: Jeff Eastman
>         Attachments: MAHOUT-30.patch, MAHOUT-30b.patch, MAHOUT-30c.patch, MAHOUT-30d.patch
>
>
> 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.

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