[jira] [Updated] (MAHOUT-688) High Document Frequency pruning for seq2sparse

["Vasil Vasilev (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-688?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Vasil Vasilev updated MAHOUT-688:
---------------------------------

    Attachment: MAHOUT-688.patch

High DF words pruning implementation

> High Document Frequency pruning for seq2sparse
> ----------------------------------------------
>
>                 Key: MAHOUT-688
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-688
>             Project: Mahout
>          Issue Type: Improvement
>            Reporter: Vasil Vasilev
>            Priority: Minor
>              Labels: Vectorization
>         Attachments: MAHOUT-688.patch
>
>
> This improvement allows to prune the words with high document frequencies from the tf and tf-idf vectors produced by seq2sparse, based on the standard deviation of the words' document frequencies and specifying which rods to be pruned in a means of times this standard deviation. One good option is 3 times the standard deviation

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