[SciPy-dev] Scikit for manifold learning techniques

Matthieu Brucher matthieu.brucher@gmail....
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).

Matthieu

2007/12/6, Zachary Pincus <zpincus@stanford.edu>:
>
> Attached is a relatively "full featured" implementation of basic PCA
> that should be reasonably fast. Perhaps it will be of sue to someone.
>
> Zach
> (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
> > _______________________________________________
> > Scipy-dev mailing list
> > Scipy-dev@scipy.org
> > http://projects.scipy.org/mailman/listinfo/scipy-dev
>
>
> _______________________________________________
> Scipy-dev mailing list
> Scipy-dev@scipy.org
> http://projects.scipy.org/mailman/listinfo/scipy-dev
>
>
>


-- 
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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://projects.scipy.org/pipermail/scipy-dev/attachments/20071206/41fee656/attachment.html 


More information about the Scipy-dev mailing list