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From Lance Norskog <goks...@gmail.com>
Subject Using SVD-conditioned matrix
Date Sun, 16 Sep 2012 03:33:59 GMT
If you condition a vector set with the zero-the-small-singular-values
trick, how do you project a vector from original space to the
conditioned space? This would let you "condition" new data from a
homogeneous dataset.

It would be useful in the Mahout context. For example, with SSVD you
can use the technique to get better vector clustering. You can create
the "conditioning projection" from a sampled dataset, instead of
decomposing and recomposing the whole dataset.

Also asked on stack overflow:
http://stackoverflow.com/questions/12444231/svd-matrix-conditioning-how-to-project-from-original-space-to-conditioned-spac

-- 
Lance Norskog

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