Bioconductor has the pcaMethods package, with multiple options for PCA, including a robust L1-norm SVD.
Kevin Wright On Thu, Sep 1, 2011 at 5:16 AM, Igor Carron <igorcar...@gmail.com> wrote: > Hi, > > I am not sure if this should go to r-help or r-dev list. I have looked > at some archives of R libraries but cannot seem to see a project that > focuses on the new matrix factorization techniques that are showing up > in the literature. I have made a list of them: > > https://sites.google.com/site/igorcarron2/matrixfactorizations > > they include Robust PCA, Dictionnary Learning, Sparse PCA and are > mostly implemented in Matlab. What is most interesting is that even > though they share the same names with techniques already listed in > some R libraries, they really are implementing very different > algorithms that perform better. > > Here are is question: Is there a repository in the R-world somewhere > that lists new implementations of an algorithm like say robust PCA ? > > Thanks in advance, > > Igor. > > ------------------------ > Igor Carron, Ph.D. > http://nuit-blanche.blogspot.com > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
