SVD is (approximately) metric-preserving while also dimensionality reducing. If you use A'AR instead of the actual term eigenvectors you should get similar results.
On Mon, Jan 4, 2010 at 2:21 PM, Jake Mannix <[email protected]> wrote: > Ted, how would just doing a random projection do the right thing? It's a > basically metric-preserving technique, and one of the primary reasons to > *do* LSA is to use a *different* metric (one in which "similar" terms are > nearer to each other than would be otherwise imagined). > -- Ted Dunning, CTO DeepDyve
