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