Hey Alex.
This sounds interesting - I'm not familiar with the technique.
We already have Manifold learning which does a non-linear dimensionality
reduction as well.
I don't know how it compares to the Kohonen maps but it seems worth looking
into.
Here's the Manifold learning documentation
http://scikit-learn.org/stable/modules/manifold.html
Here's a link to the contributors guide:
http://scikit-learn.org/stable/developers/index.html
Anyone know more about this?
2012/8/24 Alex Wiltschko <[email protected]>
> Hello all,
>
> Long time user of scikits-learn, first time posting here.
> I implemented a self-organizing (aka Kohonen) map with Numba. It's fast.
> I'd like to share it with the scientific python community. Can I contribute
> it to scikits-learn?
>
> Here's a notebook with a run-down of how it works:
> http://nbviewer.ipython.org/3407544 (the source:
> https://gist.github.com/3407544)
>
> I don't know much about how scikits-learn structures unsupervised learning
> methods, but if there's interest, and perhaps someone to point me to a
> brief run-down on how to format my work for inclusion in scikits-learn, I'd
> love the chance to contribute.
>
> Best,
> Alex
>
>
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