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Posted to dev@mahout.apache.org by "Jeff Eastman (Issue Comment Edited) (JIRA)" <ji...@apache.org> on 2011/11/02 23:19:33 UTC

[jira] [Issue Comment Edited] (MAHOUT-524) DisplaySpectralKMeans example fails

    [ https://issues.apache.org/jira/browse/MAHOUT-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13142624#comment-13142624 ] 

Jeff Eastman edited comment on MAHOUT-524 at 11/2/11 10:19 PM:
---------------------------------------------------------------

This result looks like the original result I got when it worked for a while. I'm treating the SKMD output as though it were clusters like the other Display routines. I think this is not correct but I don't understand what is wrong.
                
      was (Author: jeastman):
    This result looks like the original result I got when it worked for a while. I'm treating the SDMD output as though it were clusters like the other Display routines. I think this is not correct but I don't understand what is wrong.
                  
> 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, 0.5
>            Reporter: Jeff Eastman
>            Assignee: Shannon Quinn
>              Labels: clustering, k-means, visualization
>             Fix For: 0.6
>
>         Attachments: EclipseLog_20110918.txt, MAHOUT-524.patch, MAHOUT-524.patch, SpectralKMeans_fail_20110919.txt, aff.txt, raw.txt, screenshot-1.jpg, spectralkmeans.png
>
>
> 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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