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https://issues.apache.org/jira/browse/SPARK-3220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15140434#comment-15140434
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Tsai Li Ming commented on SPARK-3220:
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[~derrickburns], Is your private fork at
https://github.com/derrickburns/generalized-kmeans-clustering ?
I am having the same problem here:
http://apache-spark-developers-list.1001551.n3.nabble.com/Re-Kmeans-using-1-core-only-Was-Slowness-in-Kmeans-calculating-fastSquaredDistance-td16304.html
> 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
> Labels: clustering
>
> 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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