[jira] Assigned: (MAHOUT-126) Prepare document vectors from the text

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

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

Grant Ingersoll reassigned MAHOUT-126:
--------------------------------------

    Assignee: Grant Ingersoll

> Prepare document vectors from the text
> --------------------------------------
>
>                 Key: MAHOUT-126
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-126
>             Project: Mahout
>          Issue Type: New Feature
>            Reporter: Shashikant Kore
>            Assignee: Grant Ingersoll
>         Attachments: 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. 

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