I just committed the patch with numClusters = 3 in DisplaySpectralKMeans.
Jeff

On 12/28/11 9:25 PM, Shannon Quinn wrote:
Sorry for replying via the dev list, but I am without Internet access beyond my 
phone. Yes, unless anyone testing can find issues with this patch (or with the 
one Grant posted earlier, as mine contains his), it is meant to be committed.

Due to the aforementioned lack of Internet, if someone could commit this for me 
that's be fantastic.

On Dec 28, 2011, at 17:13, "Jeff Eastman (Commented) (JIRA)"<j...@apache.org>  
wrote:

    [ 
https://issues.apache.org/jira/browse/MAHOUT-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13176876#comment-13176876
 ]

Jeff Eastman commented on MAHOUT-524:
-------------------------------------

Shannon, is this patch ready to commit? I've installed it and verified that 
DisplaySpectralKMeans is indeed finding clusters. By increasing the numClusters 
from 2 to 3 it now does a credible job of finding the 3 clusters present in the 
generated data.

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, 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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