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https://issues.apache.org/jira/browse/SPARK-2308?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-2308.
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Resolution: Won't Fix
Yes I think there are a few factors that may mean a number of these JIRAs are
"WontFix" -- the move to towards the new "pipeline" API, and the general
difficulty ingesting significant rewrites vs incremental changes.
On all these, I'd like to identify what's probably not going to be merged, so
we can do the contributor the favor of concluding that, but also, identify what
_is_ a fix or improvement that can be merged, and make sure we get that in
sooner than later.
> 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
> Labels: clustering
> 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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