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https://issues.apache.org/jira/browse/MAHOUT-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13142510#comment-13142510
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Grant Ingersoll commented on MAHOUT-524:
----------------------------------------
REalizing now that Jeff already said that above. Digging deeper, however, it
seems to me that the issue is Hadoop is not expecting there to be a directory
(tmp) in that directory. From the looks of it, we just want the part-m-****
file in there, but file status is also returning the tmp dir that gets created
when we do:
{code}
DistributedRowMatrix L =
VectorMatrixMultiplicationJob.runJob(affSeqFiles, D,
new Path(outputCalc, "laplacian-" + (System.nanoTime() & 0xFF)));
{code}
on line 142 of SpectralKMeansDriver. I wonder if we simply put that tmp
directory elsewhere, or make sure that it is deleted when that job is done and
all will be well?
Perhaps a red herring, testing more.
> 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.
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