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https://issues.apache.org/jira/browse/MATH-1171?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14605247#comment-14605247
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Thomas Neidhart commented on MATH-1171:
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Supporting this would require a complete re-design of the clustering interface.
I am wondering if it is worth doing the effort, as the clustering support in
commons-math is not really sophisticated (its only useful for small and simple
problems and intended to get quick results) and for more complex use-cases
other libraries might be a better choice.
> clustering implementations have unnecessary overhead
> ----------------------------------------------------
>
> Key: MATH-1171
> URL: https://issues.apache.org/jira/browse/MATH-1171
> Project: Commons Math
> Issue Type: Bug
> Reporter: Mark
>
> I want to apply clustering algorithms like KMeansPlusPlusClusterer to
> pictures. And creating a point instance for each pixel is not a good idea.
> Therefore the interface should not be based on Collections, but on some
> interface that provides sort of "get(index)" accessors to data that is
> potentially stored in a pixel array etc.
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