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https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12795570#action_12795570
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Shashikant Kore commented on MAHOUT-163:
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Grant,
Yes, it should have been configurable number.
If the corpus size is big (tens of thousands of documents or more), the size I
was working with, most likely such clusters are formed by outliers. Ignoring
such clusters doesn't have any impact on the quality.
> Get (better) cluster labels using Log Likelihood Ratio
> ------------------------------------------------------
>
> Key: MAHOUT-163
> URL: https://issues.apache.org/jira/browse/MAHOUT-163
> Project: Mahout
> Issue Type: Improvement
> Reporter: Shashikant Kore
> Assignee: Grant Ingersoll
> Fix For: 0.3
>
> Attachments: MAHOUT-163-17sep.patch, MAHOUT-163.patch,
> MAHOUT-163.patch, MAHOUT-163.patch, MAHOUT-163.patch, mahout-163.patch,
> mahout-cluster-labels-llr.patch
>
>
> Log Likelihood Ratio (LLR) is a better technique to identify cluster labels
> instead of the top features of the centroid vector. LLR finds terms/phrases
> which are common in the cluster but rare outside.
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