[ https://issues.apache.org/jira/browse/MAHOUT-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13108721#comment-13108721 ]
Shannon Quinn commented on MAHOUT-524: -------------------------------------- Sean: #4 is actually an off-by-one error that is the result of specifying "--dimensions 37" when they are indexed in the input file as 1-37, when the program is expecting 0-36. Changing the input parameter to "--dimensions 38" is kind of a fix, although it will result in the first row and first column of Mahout's internal representation of the affinity matrix to be all 0s. Regarding the jobs, I have no idea how they ran previously; I never ran into that problem when first writing the jobs. Apparently there's a widely-employed use-case I simply didn't test? Beyond that, still can't find the source of the error in the attached EclipseLog; wherever that "/tmp" is being appended at the end, it isn't in any of the core Mahout code. > 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, > SpectralKMeans_fail_20110919.txt, aff.txt, raw.txt, 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. -- This message is automatically generated by JIRA. For more information on JIRA, see: http://www.atlassian.com/software/jira