There was an attempt along this line some time ago. You may like to have a
look in this issue and the PR to get an idea about how they can fit in.
1. Add Self Organising Map as a clustering algorithm.
<https://github.com/scikit-learn/scikit-learn/issues/2892>
2. Self-Organizing Map
<https://github.com/scikit-learn/scikit-learn/pull/39>
On Thu, Feb 26, 2015 at 9:29 AM, Damith Senanayake <dracusds...@gmail.com>
wrote:
> Hi,
>
> I noticed that Scikit-Learn doesn't have an implementation of Self
> Organizing Maps and its variants. Admittedly, SOMs are quite outdated, but
> there are some more general variants of them that are quite frequently
> used. Some examples are
> Growing Self Organizing Maps
> Operator SOMs
> Kernel SOMs
>
> and some more interesting algorithms based on SOM literature such as the
> IKASL.
>
> Wouldn't it be a possibility to add a package containing these
> capabilities to sklearn. If so, I am willing to contribute by both
> knowledge (what little I may have) and implementation.
>
>
>
> --
> -Damith -
>
>
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--
*Maheshakya Wijewardena,Undergraduate,*
*Department of Computer Science and Engineering,*
*Faculty of Engineering.*
*University of Moratuwa,*
*Sri Lanka*
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conversation now. http://goparallel.sourceforge.net/
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