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https://issues.apache.org/jira/browse/MAHOUT-818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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beneo updated MAHOUT-818:
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Attachment: vector.tar.gz
this is the vectors for my test.
you can use this to watch the different result with clusterFilter or not
the canopy t1=0.032, t2=0.008
the kmeans x=10 cd=0.1
> Canopy Emits Too Many Trivial Clusters
> --------------------------------------
>
> Key: MAHOUT-818
> URL: https://issues.apache.org/jira/browse/MAHOUT-818
> Project: Mahout
> Issue Type: Improvement
> Components: Clustering
> Affects Versions: 0.5
> Reporter: Jeff Eastman
> Assignee: Jeff Eastman
> Fix For: 0.6
>
> Attachments: MAHOUT-818.patch, vector.tar.gz
>
>
> Users of Canopy clustering report that the single reducer used in the
> mapreduce version often takes dispropportately long to process the results of
> multiple mappers. This patch introduces a new Canopy CLI argument, -cf
> (--clusterFilter), which if present establishes a lower bound on the
> numPoints of canopies output from the algorithm. The default value for this
> filter is 0, and all canopies are output. Setting -cf 1 would eliminate any
> canopies which contain only 1 point from subsequent processing steps.
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