Hi Kiefer, thanks for the investigation. First let's clarify some 'terminology' ;)
> From your previous response in a different thread you mentioned that > SVD does not converge when it is unable to find an appropriate dataset > to kick off hyperalignment. This doesn't quite make sense to me ... to me neither ;) it is somewhat the opposite -- Hyperalignment uses Procrustean transformation which relies on SVD. If SVD doesn't converge (having some subject as a tentative target space) then Procrustean fails and then Hyperalignment tries another subject as the target. > Could the SVD non-convergence be a classification error on my part? "Classification error"... ? we are not talking about classification at this stage yet > Out of the 21 subjects, only a group of 6 subjects managed to > successfully hyperalign to each other by the end. hm... so let's talk now about details -- how many time points do you use? and how many voxels do you hyperalign? how do you select those voxels? my wild guess is that you have way too many voxels for the # of time points you have... -- =------------------------------------------------------------------= Keep in touch www.onerussian.com Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
