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Meethu Mathew commented on SPARK-4156: -------------------------------------- We had run the GMM code on two public datasets : http://cs.joensuu.fi/sipu/datasets/s1.txt http://cs.joensuu.fi/sipu/datasets/birch2.txt It was observed in both the cases that the execution converged at the 3rd iteration and the w , mu and sigma were identical for all the components.The code was run using the following commands: ./bin/run-example org.apache.spark.examples.mllib.DenseGmmEM s1.csv 15 .0001 ./bin/run-example org.apache.spark.examples.mllib.DenseGmmEM birch2.csv 100 .0001 Are we missing something here? > Add expectation maximization for Gaussian mixture models to MLLib clustering > ---------------------------------------------------------------------------- > > Key: SPARK-4156 > URL: https://issues.apache.org/jira/browse/SPARK-4156 > Project: Spark > Issue Type: New Feature > Components: MLlib > Reporter: Travis Galoppo > Assignee: Travis Galoppo > > As an additional clustering algorithm, implement expectation maximization for > Gaussian mixture models -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org