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https://issues.apache.org/jira/browse/SPARK-43297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17728553#comment-17728553
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Snoot.io commented on SPARK-43297:
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User 'wenwj0' has created a pull request for this issue:
https://github.com/apache/spark/pull/41384
> Make improvement to LocalKMeans
> -------------------------------
>
> Key: SPARK-43297
> URL: https://issues.apache.org/jira/browse/SPARK-43297
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 3.3.0
> Reporter: wenweijian
> Priority: Minor
>
> There are two initializationMode in Kmeans, random mode and parallel mode.
> The ParallelMode is using kmeansPlusPlus to generate the centers point, but
> the kMeansPlusPlus is a local method which runs in the driver.
> If the scale of points is huge, the kMeansPlusPlus will run for a long time,
> because it is a single thread method running in the driiver.
> We can make this method run in parallel to make it faster, such as using
> Parallel collections.
>
>
>
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