On Thu, Jun 9, 2011 at 2:27 AM, Lance Norskog <[email protected]> wrote: > Projecting to the first "two" singular vectors?
Yes. > Do an SVD on a random matrix, and use the first 2 (or three) singular > vectors as a matrix? Not a random matrix. A matrix of positions shifted back to have average mean (aka PCA). > > What goes into the affinity matrix? exp(-r_ij ^ 2 / \sigma) is a common usage. sigma is chosen to have a fairly sparse affinity matrix. r_ij is distance from i to j.
