I've been trying to figure out how to code an svd algorithm and I've seen
some questions about svd algorithms floating around the Mahout mailing
lists. I thought it might be helpful to share what I've found so far.
Really large matrices require using one of the randomizing methods to get
don
Here's another source of understanding about svd. MIT Professor Gilbert
Strang's lecture on the subject. Strang is a fine educator and gentleman
and wonderfully clear with his explanation of the underlying geometry of
SVD.
http://videolectures.net/mit1806s05_strang_lec29/
you can also get fin
I'm a newbie here and am a little timid about raising my hand, but I do want
to be helpful, so here goes. If I'm making some mistake in etiquette,
please let me know (but be gentle).
The most commonly used algorithm for SVM is based on work done be John Platt
at Microsoft Reasearch (used for
