[SciPy-User] manifold learning tools?

[Anthony Palomba]

Forgive me, but I am new to the whole world of manifolds. My goal
is to come up with a working implementation of an orbit manifold
in python that I can experiment with.

Would scikits.learn allow me to do that? Is a diffusion map the same
thing as a manifold?

Sorry again if these seem like silly questions, I am trying to get my
head around what I need to learn in order to make this happen.

Any pointers to manifold learning resources would greatly
appreciated.



Thanks,
Anthony



On Mon, Feb 14, 2011 at 10:38 AM, Matthieu Brucher <
matthieu.brucher at gmail.com> wrote:

>
>
> 2011/2/14 Stéfan van der Walt <stefan at sun.ac.za>
>
> On Fri, Feb 11, 2011 at 12:16 AM, Zachary Pincus
>> <zachary.pincus at yale.edu> wrote:
>> > Oh great, thanks! I poked around the scikits.learn repo a bit but must
>> > have missed those -- sorry. I'll check that out in more detail.
>>
>> I looked at the docs for scikits.learn now, but it doesn't seem as
>> though one can specify the diffusion map kernel?  Either way, the code
>> for this is literally about 20 lines (attached).  Note that 'eigen' is
>> known as 'eigs' in the latest scipy RC.
>>
>
> Indeed, because the diffusion kernel is hardcoded for diffusion map. The
> inner computation function can be passed a kernel though (sparse like
> Laplacian Eigenmaps or not sparse like Diffusion Map).
>
> Matthieu
>
> --
> Information System Engineer, Ph.D.
> Blog: http://matt.eifelle.com
> LinkedIn: http://www.linkedin.com/in/matthieubrucher
>
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