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https://issues.apache.org/jira/browse/SPARK-2308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14079260#comment-14079260
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RJ Nowling commented on SPARK-2308:
-----------------------------------
Thanks for the clarification. :) I'll run the additional tests to try to
answer those questions.
I'll also work on trying to implement MiniBatch KMeans as a flag for the
current KMeans implementation -- that would be a nicer API.
> Add KMeans MiniBatch clustering algorithm to MLlib
> --------------------------------------------------
>
> Key: SPARK-2308
> URL: https://issues.apache.org/jira/browse/SPARK-2308
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: RJ Nowling
> Assignee: RJ Nowling
> Priority: Minor
> Attachments: many_small_centers.pdf, uneven_centers.pdf
>
>
> Mini-batch is a version of KMeans that uses a randomly-sampled subset of the
> data points in each iteration instead of the full set of data points,
> improving performance (and in some cases, accuracy). The mini-batch version
> is compatible with the KMeans|| initialization algorithm currently
> implemented in MLlib.
> I suggest adding KMeans Mini-batch as an alternative.
> I'd like this to be assigned to me.
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