[jira] Commented: (MAHOUT-284) In Fuzzy Kmeans, when the distance between centroid and the given point is zero, then it should belong to that cluster with probability 1 and rest with probability zero

["Jeff Eastman (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12868798#action_12868798 ] 

Jeff Eastman commented on MAHOUT-284:
-------------------------------------

This patch is obsolete and after a couple of hours trying to apply it manually have given up. It has a lot of special case tests for strongCluster and corresponding branching to avoid dividing by zero in the computeProbWeight calculation (which currently has the only test for distance == 0, substituting 1e-10). I wonder about the importance of fixing this in general, but would like to keep looking for a more elegant solution that doesn't involve so much special case testing.

> In Fuzzy Kmeans, when the distance between centroid and the given point is zero, then it should belong to that cluster with probability 1 and rest with probability zero
> ------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: MAHOUT-284
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-284
>             Project: Mahout
>          Issue Type: Bug
>          Components: Clustering
>            Reporter: Pallavi Palleti
>            Priority: Minor
>         Attachments: Mahout-284.patch
>
>
> In Fuzzy Kmeans, when the distance between centroid and the given point is zero, then the point should belong to that cluster with probability 1 and rest with probability zero. However, right now, we are not doing that.

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