[SciPy-dev] Scikit for manifold learning techniques
Thu Dec 6 13:28:09 CST 2007
Cute, but I might adapt the interface to the one I use for the moment (as
there are two different techniques you propose).
2007/12/6, Zachary Pincus <email@example.com>:
> Attached is a relatively "full featured" implementation of basic PCA
> that should be reasonably fast. Perhaps it will be of sue to someone.
> (I hereby put this code in the public domain.)
> On Dec 6, 2007, at 12:02 PM, Matthieu Brucher wrote:
> > (PS. Yes, PCA is easy to implement, but it is also easy to get subtly
> > wrong -- I've seen several such -- or to implement in a way that is a
> > lot slower than it needs to be. I've spent a while making my
> > implementation correct and as fast as possible for both n_data >>
> > n_dims and vice-versa. If anyone wants, I'll send the code.)
> > I already have one with the Fukunaga modification, but I'll gladly
> > compare both version to use the best one.
> > Matthieu
> > --
> > French PhD student
> > Website : http://miles.developpez.com/
> > Blogs : http://matt.eifelle.com and http://blog.developpez.com/?
> > blog=92
> > LinkedIn : http://www.linkedin.com/in/matthieubrucher
> > _______________________________________________
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French PhD student
Website : http://miles.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
LinkedIn : http://www.linkedin.com/in/matthieubrucher
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