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https://issues.apache.org/jira/browse/MAHOUT-59?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12674983#action_12674983
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Richard Tomsett commented on MAHOUT-59:
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Re: discussion of text clustering on the mailing list, there are several 'bag
of words' examples at the UCI repository:
http://archive.ics.uci.edu/ml/datasets/Bag+of+Words . The data is in [docID
wordID wordcount] format so needs to be processed into TF-IDF Vectors for
clustering. I previously did this with a Python script but I'll write something
in Hadoop to do it, before passing it on to Canopy or K-Means clustering. May
take a little while as I haven't looked at my code for about half a year, and I
didn't write unit tests or anything last time...
This would also involve writing a cosine distance measure class, which I guess
would be useful generally. Would this be a useful example?
> Create some examples of clustering well-known datasets
> ------------------------------------------------------
>
> Key: MAHOUT-59
> URL: https://issues.apache.org/jira/browse/MAHOUT-59
> Project: Mahout
> Issue Type: New Feature
> Components: Clustering
> Reporter: Jeff Eastman
> Attachments: MAHOUT-59.patch
>
>
> The existing unit tests for clustering need to be augmented with examples
> from the literature which illustrate its correct operation on datasets which
> have known clusters present. See http://archive.ics.uci.edu/ml/ for some
> candidate datasets.
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