Derrick Burns created SPARK-3220: ------------------------------------ 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. -- This message was sent by Atlassian JIRA (v6.2#6252) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org