[jira] Updated: (MAHOUT-524) DisplaySpectralKMeans example fails

["Jeff Eastman (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jeff Eastman updated MAHOUT-524:
--------------------------------

      Description: I've committed a new display example that attempts to push the standard mixture of models data set through spectral k-means. After some tweaking of configuration arguments and a bug fix in EigenCleanupJob it runs spectral k-means to completion. The display example is expecting 2-d clustered points and the example is producing 5-d points. Additional I/O work is needed before this will play with the rest of the clustering algorithms.   (was: I've committed a new display example that attempts to push the standard mixture of models data set through spectral k-means. After some tweaking of configuration arguments it gets remarkably far through, finally failing on W.transpose() after the eigen cleanup. I can't imagine this would all be pilot error so I'm opening an issue to track it. )
    Fix Version/s:     (was: 0.4)
                   0.5

This does not impact 0.4 usability as spectral clustering is still experimental and needs I/O. The display routine could be removed for hygiene but I prefer to leave it in with a caveat that it is part of several work-in-progress issues to integrate spectral clustering into the rest of the clustering portfolio.

> DisplaySpectralKMeans example fails
> -----------------------------------
>
>                 Key: MAHOUT-524
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-524
>             Project: Mahout
>          Issue Type: Bug
>          Components: Clustering
>    Affects Versions: 0.4
>            Reporter: Jeff Eastman
>             Fix For: 0.5
>
>
> I've committed a new display example that attempts to push the standard mixture of models data set through spectral k-means. After some tweaking of configuration arguments and a bug fix in EigenCleanupJob it runs spectral k-means to completion. The display example is expecting 2-d clustered points and the example is producing 5-d points. Additional I/O work is needed before this will play with the rest of the clustering algorithms. 

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