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https://issues.apache.org/jira/browse/SPARK-6000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath closed SPARK-6000.
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Resolution: Duplicate
> Batch K-Means clusters should support "mini-batch" updates
> ----------------------------------------------------------
>
> Key: SPARK-6000
> URL: https://issues.apache.org/jira/browse/SPARK-6000
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.2.1
> Reporter: Derrick Burns
> Priority: Minor
>
> One of the ways of improving the performance of the K-means clustering
> algorithm is to sample the points on each round of the Lloyd's algorithm and
> to only use those samples to update the cluster centers. (Note that this is
> similar to the update algorithm of streaming K-means.) The Spark K-Means
> clusterer should support the mini-batch algorithm for large data sets.
> The K-Means implementation at
> https://github.com/derrickburns/generalized-kmeans-clustering supports the
> mini-batch algorithm.
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