Generalize Dirichlet models and model distributions to handle n-d and sparse 
vectors
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                 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


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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