Derrick Burns created SPARK-3220:
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Summary: K-Means clusterer should perform K-Means initialization
in parallel
Key: SPARK-3220
URL: https://issues.apache.org/jira/browse/SPARK-3220
Project: Spark
Issue Type: Improvement
Components: MLlib
Reporter: Derrick Burns
The LocalKMeans method should be replaced with a parallel implementation. As
it stands now, it becomes a bottleneck for large data sets.
I have implemented this functionality in my version of the clusterer. However,
I see that there are hundreds of outstanding pull requests. If someone on the
team wants to sponsor the pull request, I will create one. Otherwise, I will
just maintain my own private fork of the clusterer.
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