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https://issues.apache.org/jira/browse/SPARK-4156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14231226#comment-14231226
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Meethu Mathew commented on SPARK-4156:
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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
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