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https://issues.apache.org/jira/browse/MAHOUT-251?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jeff Eastman updated MAHOUT-251:
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Attachment: MAHOUT-251-b.patch
This patch is simpler than the previous patch and all unit tests and examples
run (from Eclipse at least. Still working on debugging the mvn install failures
> Generalize Dirichlet models and model distributions to handle n-d and sparse
> vectors
> ------------------------------------------------------------------------------------
>
> Key: MAHOUT-251
> URL: https://issues.apache.org/jira/browse/MAHOUT-251
> Project: Mahout
> Issue Type: Improvement
> Components: Clustering
> Affects Versions: 0.2
> Reporter: Jeff Eastman
> Assignee: Jeff Eastman
> Attachments: MAHOUT-251-b.patch, MAHOUT-251.patch
>
>
> Users attempting to use Dirichlet Process Clustering on real life problems
> cannot use any of the existing models or model distributions as these have
> hard-coded assumptions of a 2-d DenseVector underlying data representation.
> These limitations are overly restrictive and the code needs to be
> generatlized.
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