Thanks Derek, I am going to check PDL::Transform right away. My need is to reduce dimensionality on large distance matrices. For this is use multidimensional scaling (http://en.wikipedia.org/wiki/Multidimensional_scaling) by calling R from perl (cmdscale function : http://stat.ethz.ch/R-manual/R-patched/library/stats/html/cmdscale.html).
It's perfectly fine, expect in terms of performance, since at the moment I didn't find any better way than use Statistics:R, which basically passes data through stdin/stdout. When it comes to huge matrices, it is extremely inefficient. Hence my question. I tried to google "pdl multidimensional scaling", "gsl multidimensional scaling", "perl multidimensional scaling", and all possible variants involving "pcinipal coordinates analysis", "PCoA", with no success. Many thanks, again. --j Le 31 janv. 2013 à 21:41, Derek Lamb <[email protected]> a écrit : > Hi Jean, > > The best hint I can provide based on the extremely limited information you > have given is PDL::Transform. > > You might get a better response if you describe what you are trying to do in > more than one sentence, what you have tried, whether you are new to PDL or > Perl or are already using one or both, and what documentation you have looked > at. > > best, > Derek > > On Jan 31, 2013, at 1:24 PM, Jean Véronis wrote: > >> Hi all, >> >> I am looking for a multidimensional scaling package. >> Any hint would be appreciated. >> >> Many thanks >> --j >
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