[SciPy-dev] Scikit for manifold learning techniques

Zachary Pincus zpincus@stanford....
Thu Dec 6 11:52:49 CST 2007

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.)

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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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