[R-sig-hpc] Partial SVD
Jay Emerson
jayemerson at gmail.com
Sun Jun 5 17:16:41 CEST 2011
Yes, Bryan put irlba up on CRAN. It works on either matrix or
big.matrix objects, too. However (as Bryan would note) it is a pure R
implementation and its performance could be greatly improved by moving
much of the algorithm to C (maybe I'll try to get a grad student
interested in working on it). So it might not be surprising if the
performance in "small-medium" simulations is unimpressive. Just
remember: it can do a *really big* partial SVD, which most other
alternatives (that I'm aware of) wouldn't be able to handle. We've
used it on an 80 GB data set (Netflix data without using a sparse
representation) successfully.
Jay
--
John W. Emerson (Jay)
Associate Professor of Statistics
Department of Statistics
Yale University
http://www.stat.yale.edu/~jay
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