No, there's no option to pre-scale it w.r.t. variance. But (I think) the definition of PCA doesn't require it. More over, in fact, in many cases one wants to preserve euclidean distances proportions between data points in the dimensionally reduced output, in which case it wouldn't make sense to scale it.
Can you perhaps elaborate a little on your reason for scaling input for PCA? On Fri, Mar 1, 2013 at 6:30 AM, Tamas Jambor <[email protected]> wrote: > Hi, > > just wondering if there is a way to standardize data for SSVD (ie > (x-mean)/sd)? I understand that using the PCA option would centralize the > matrix per column mean, but it seems that there is no option to standardize > it. > > thanks, > Tamas >
