thanks I found it, I was looking at 0.7 (but it seems that this option is from 0.8)
On Fri, Mar 1, 2013 at 8:13 PM, Dmitriy Lyubimov <dlie...@gmail.com> wrote: > On Fri, Mar 1, 2013 at 7:43 AM, Tamas Jambor <jambo...@gmail.com> wrote: > > > Hi, > > > > I am trying to run SSVD to compute PCA. As a final result I'd like to > > compute U*Sigma. > > > > there should be an option, -us, to bake in sigma into U output so you don't > have to have extra job to multiply that yourself. see the manual on the > wiki. > > > > > > But it seems that the dimensions of the U and Sigma I get from SSVD don't > > agree, I get a longer Sigma that U. just wondering if someone could > explain > > where I can get the correct Sigma from? > > > > I don't remember it offhand. The svd rank computed is actually k+p where k > is considered to be useful and p is later thrown away. It is thrown away in > matrix outputs but it may still be in the Sigma output. (I known for sure > it is thrown away correctly if one gets it form SSVDSolver.getSigma()). If > you need Sigma, just take first k values in the output vector. > > > > thanks,Tamas > > >
