There is also an added difficulty, which is that for SOM to be interesting,
they rely on specifying a topology. Most implementations use a somewhat
restrictive topology that is useful only for a small number of applications,
for instance a 2D embedding topology. A general implementation is more work.
Gaël
Sent from my phone. Please forgive brevity and mis spelling
On Feb 26, 2015, 05:46, at 05:46, Andy <t3k...@gmail.com> wrote:
>The thing is: I have rarely seen a compelling use.
>If you have a use-case where the algorithms you listed out-perform
>things that are already in scikit-learn,
>I think we'd be happy to adopt them. Until now, I haven't seen a great
>application.
>
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