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Posted to issues@spark.apache.org by "RJ Nowling (JIRA)" <ji...@apache.org> on 2014/06/27 20:58:24 UTC

[jira] [Created] (SPARK-2308) Add KMeans MiniBatch clustering algorithm to MLlib

RJ Nowling created SPARK-2308:
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             Summary: Add KMeans MiniBatch clustering algorithm to MLlib
                 Key: SPARK-2308
                 URL: https://issues.apache.org/jira/browse/SPARK-2308
             Project: Spark
          Issue Type: New Feature
          Components: MLlib
            Reporter: RJ Nowling
            Priority: Minor


Mini-batch is a version of KMeans that uses a randomly-sampled subset of the data points in each iteration instead of the full set of data points, improving performance (and in some cases, accuracy).  The mini-batch version is compatible with the KMeans|| initialization algorithm currently implemented in MLlib.

I suggest adding KMeans Mini-batch as an alternative.

I'd like this to be assigned to me.



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