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From Pat Ferrel <>
Subject Re: SSVD for dimensional reduction + Kmeans
Date Fri, 10 Aug 2012 18:32:40 GMT
This is only a test with some trivially simple data. I doubt there are any splits and yes it
could easily be done in memory but that is not the purpose. It is based on testKmeansDSVD2,
which is in 
I've attached the modified and running version with testKmeansDSSVD

As I said I don't think this is a real world test. It tests that the code runs, and it does.
Getting the best results is not part of the scope. I just thought if there was an easy answer
I could clean up the parameters for SSVDSolver.

Since it is working I don't know that it's worth the effort unless people are likely to run
into this with larger data sets.

Thanks anyway.

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