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https://issues.apache.org/jira/browse/MAHOUT-929?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13217913#comment-13217913
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Paritosh Ranjan commented on MAHOUT-929:
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I have added the mapreduce version of the ClusterClassificationDriver with
outlier removal capability.
ClusterClassificationDriver if implemented now ( only some refactoring and CLI
development is left ). So, the clustering refactorings can start.
Saikat, if you want, you can look into ClusterClassificationDriverTest. I have
added a MapReduce test case. You can try to add some more test scenarios there.
This will help in getting a better understanding of ClusterClassification. Once
you understand it, you can try to use it in KMeansDriver.
> Refactor Clustering (Vector Classification) into a Separate Postprocess with
> Outlier Pruning
> --------------------------------------------------------------------------------------------
>
> Key: MAHOUT-929
> URL: https://issues.apache.org/jira/browse/MAHOUT-929
> Project: Mahout
> Issue Type: Improvement
> Components: Classification, Clustering
> Affects Versions: 0.6
> Reporter: Jeff Eastman
> Assignee: Paritosh Ranjan
> Fix For: 0.7
>
> Attachments: Mahout-929, Mahout-929, Mahout-929, Mahout-929
>
>
> The current clustering drivers have a -cp option to produce clusteredPoints
> directory containing the input vectors classified by the final clusters
> produced by the algorithm. These options are redundantly implemented in those
> drivers.
> - Factor out & implement an independent post processor to perform the
> classification step independently of the various clustering implementations.
> - Implement a pluggable outlier removal capability for this classifier.
> - Consider building off of the ClusterClassifier & ClusterIterator ideas.
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