[jira] Commented: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio

["Grant Ingersoll (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-163?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12742842#action_12742842 ] 

Grant Ingersoll commented on MAHOUT-163:
----------------------------------------

I only briefly scanned the patch, but I've seen Ted mention LLR several times now in relation to several different things.  Does it make sense to have some generic LLR capabilities, that can be utilized in multiple places?

> 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
>         Attachments: 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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Re: [jira] Commented: (MAHOUT-163) Get (better) cluster labels using Log Likelihood Ratio

[Ted Dunning <te...@gmail.com>]

Yes.

:-)

I should contribute a patch, actually.

On Thu, Aug 13, 2009 at 7:48 AM, Grant Ingersoll (JIRA) <ji...@apache.org>wrote:

> Does it make sense to have some generic LLR capabilities, that can be
> utilized in multiple places?
>



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Ted Dunning, CTO
DeepDyve