Quoth Grant Ingersoll: > To put this in bin/mahout speak, this would look like, munging some names and > taking liberties with the actual argument to be passed in: > > bin/mahout svd (original -> svdOut) > bin/mahout cleansvd ... > bin/mahout transpose svdOut -> svdT > bin/mahout transpose original -> originalT > bin/mahout matrixmult originalT svdT -> newMatrix > bin/mahout kmeans newMatrix
I'm trying to create a test case from testKmeansDSVD2 to use SSVDSolver. Does SSVD require the EigenVerificationJob to clean the eigen vectors? if so where does SSVD put the equivalent of DistributedLanczosSolver.RAW_EIGENVECTORS? Seems like they should be in V* but SSVD creates V so should I transpose V* then run it through the EigenVerificationJob? I get errors when I do so trying to figure out if I'm on the wrong track.
