[jira] Updated: (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:all-tabpanel ]

Grant Ingersoll updated MAHOUT-163:
-----------------------------------

    Fix Version/s:     (was: 0.2)
                   0.3

Moving to 0.3, I'd like to see this be a little bit more generic in terms of where the original vectors come from.  In other words, I wonder if we can have a version that doesn't assume Lucene?  Thus, I don't want to rush this in.

> 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-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. 

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.