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From "Grant Ingersoll (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MAHOUT-126) Prepare document vectors from the text
Date Tue, 16 Jun 2009 19:23:07 GMT

     [ https://issues.apache.org/jira/browse/MAHOUT-126?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Grant Ingersoll updated MAHOUT-126:
-----------------------------------

        Fix Version/s: 0.2
    Affects Version/s: 0.2
               Status: Patch Available  (was: Open)

> Prepare document vectors from the text
> --------------------------------------
>
>                 Key: MAHOUT-126
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-126
>             Project: Mahout
>          Issue Type: New Feature
>    Affects Versions: 0.2
>            Reporter: Shashikant Kore
>            Assignee: Grant Ingersoll
>             Fix For: 0.2
>
>         Attachments: mahout-126-benson.patch, MAHOUT-126.patch, MAHOUT-126.patch, MAHOUT-126.patch
>
>
> Clustering algorithms presently take the document vectors as input.  Generating these
document vectors from the text can be broken in two tasks. 
> 1. Create lucene index of the input  plain-text documents 
> 2. From the index, generate the document vectors (sparse) with weights as TF-IDF values
of the term. With lucene index, this value can be calculated very easily. 
> Presently, I have created two separate utilities, which could possibly be invoked from
another class. 

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