[jira] [Created] (SPARK-8402) DP means clustering

["Meethu Mathew (JIRA)" <ji...@apache.org>]

Meethu Mathew created SPARK-8402:
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             Summary: DP means clustering 
                 Key: SPARK-8402
                 URL: https://issues.apache.org/jira/browse/SPARK-8402
             Project: Spark
          Issue Type: New Feature
          Components: MLlib
            Reporter: Meethu Mathew


At present, all the clustering algorithms in MLlib require the number of clusters to be specified in advance. 
The Dirichlet process (DP) is a popular non-parametric Bayesian mixture model that allows for flexible clustering of data without having to specify apriori the number of clusters. 
DP means is a non-parametric clustering algorithm that uses a scale parameter 'lambda' to control the creation of new clusters["Revisiting k-means: New Algorithms via Bayesian Nonparametrics" by Brian Kulis, Michael I. Jordan].

We have followed the distributed implementation of DP means which has been proposed in the paper titled "MLbase: Distributed Machine Learning Made Easy" by Xinghao Pan, Evan R. Sparks, Andre Wibisono.



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