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https://issues.apache.org/jira/browse/MAHOUT-1159?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13599237#comment-13599237
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Shannon Quinn commented on MAHOUT-1159:
---------------------------------------

Excellent points, thanks. Here's a new patch with the suggested fixes, let me 
know if that works.

The only reason I noticed the discrepancy in the documentation is SSVD in 
spectral k-means was originally tested in standalone mode, and obviously the 
DistributedCache is not available in that case.
                
> Add SSVD option to SpectralKMeans
> ---------------------------------
>
>                 Key: MAHOUT-1159
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1159
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Clustering
>    Affects Versions: 0.8
>            Reporter: Shannon Quinn
>            Assignee: Shannon Quinn
>            Priority: Minor
>             Fix For: 0.8
>
>         Attachments: MAHOUT-1159.patch, MAHOUT-1159-ssvdopts.patch
>
>
> This adds SSVD as an option for eigensolver, in addition to the [default] 
> Lanczos solver. Testing indicated it yielded similar clustering accuracy with 
> a possible performance boost.
> This patch includes other small fixes, such as using the default "tempDir" 
> for intermediate calculations.
> The initialization of the SSVD solver is a bit awkward, with specifying the 
> number of reducers. I hard-coded this at 10; is there a better solution? 
> Perhaps making it an optional parameter to the SSVD constructor?
> [Thanks to University of Pittsburgh CS undergraduates Andrew King, Pawan 
> Solanki, and Philip Schinis for working on this.]

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