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Posted to dev@mahout.apache.org by "Grant Ingersoll (JIRA)" <ji...@apache.org> on 2009/06/09 18:43:07 UTC
[jira] Commented: (MAHOUT-126) Prepare document vectors from the
text
[ https://issues.apache.org/jira/browse/MAHOUT-126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12717742#action_12717742 ]
Grant Ingersoll commented on MAHOUT-126:
----------------------------------------
Note, I haven't actually tried clustering just yet with the output!
> 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-benson.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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