On Wed, Nov 02, 2011 at 09:06:46PM +0100, Olivier Grisel wrote: > 2011/11/2 Stéfan van der Walt <[email protected]>: > > Hi all, > > > > Maybe this paper, from the current issue from SIAM Journal on > > Scientific Computing is of some interest: > > > > http://epubs.siam.org/sisc/resource/1/sjoce3/v33/i5/p2580_s1?view=print > > AFAIK, Radim Rehurek in CC has already implemented this algorithm in > gensim. I will read the paper though. Thanks for the link. > > FYI the preprint is available for free here: > http://arxiv.org/abs/1007.5510 (I despise non open access journals).
I wonder how this compares to learning a linear tied-weights autoencoder with SGD and then just orthogonalizing the weight vectors (I suppose you'd also need to do one run with a single "neuron" in order to orient the basis with respect to the first p.c.). Of course nobody compares against this method, though it is as old as the hills. :) David ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
