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https://issues.apache.org/jira/browse/MAHOUT-825?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13122959#comment-13122959
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Jeff Eastman commented on MAHOUT-825:
-------------------------------------
-2 Sorry Paritosh, but computeParameters() resets the Gaussian statistics every
time it is called. This patch breaks Canopy and turns it into a different
clustering algorithm altogether.
And I, at least, do see harm in adding this still-experimental outlier
elimination scheme to only one of the clustering algorithms. It is clearly not
specific to Canopy and we have enough one-off, inconsistent features in Mahout
already.
> Canopies grouping records outside t1
> ------------------------------------
>
> Key: MAHOUT-825
> URL: https://issues.apache.org/jira/browse/MAHOUT-825
> Project: Mahout
> Issue Type: Bug
> Components: Clustering
> Affects Versions: 0.6
> Environment: windows, linux
> Reporter: Paritosh Ranjan
> Labels: features, newbie, patch
> Fix For: 0.6
>
> Attachments: Clustering Remote Points - Two Big, Useless
> Clusters.txt, Not Clustering Remote Points - Two Meaningful Clusters.txt,
> canopy-clusterFilter-t1, canopy-outlier-elimination,
> canopy-outside-t1-points-patch-1, canopy-strict-clustering-flag
>
>
> While finding closest canopy, there is no check to ensure that it returns
> canopies which are within distance t1 from the point. This results in
> incorrect result i.e. Points outside t1 are grouped in canopies.
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