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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:29 UTC
[jira] [Updated] (SPARK-3220) K-Means clusterer should perform
K-Means initialization in parallel
[ https://issues.apache.org/jira/browse/SPARK-3220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-3220:
--------------------------------
Labels: bulk-closed clustering (was: clustering)
> 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
> Priority: Major
> Labels: bulk-closed, 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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