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https://issues.apache.org/jira/browse/MAHOUT-126?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12721351#action_12721351
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Grant Ingersoll commented on MAHOUT-126:
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Yep, you are right. I committed your patch anyway. We probably should add to
the cmd line to support setting minDF, maxDF.
> 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-no-normalization.patch, MAHOUT-126-no-normalization.patch,
> MAHOUT-126-null-entry.patch, MAHOUT-126-TF.patch, MAHOUT-126.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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