I mostly just lurk here, but I figure I may be one of few folks who knows
much about the motor control world, where NNMF is highly useful. You can
find a nice motivation of why NNMF is useful here:
https://neurolab.gatech.edu/wp/wp-content/uploads/ting/papers/Ting%20and%20Chvatal%202010.pdf
Basically, it's useful for folks who are interested in the boundaries of a
system (as is the case with the dynamics of motor control - only certain
configurations of a physiological body are possible). Movement science and
neuroscience folks are mostly using matlab still.
There also appear to be many highly cited papers in machine vision. So, I
suspect this would be useful!
Best,
D
On Thu, Nov 13, 2014 at 5:13 AM, Guillaume Dumas <guillaume.du...@pasteur.fr
> wrote:
> Ok, let's wait a little then.
> Thanks for your feebacks Gaël and Alex!
>
> Guillaume
>
> On Thu, Nov 13, 2014 at 11:06 AM, Gael Varoquaux <
> gael.varoqu...@normalesup.org> wrote:
>
>> On Thu, Nov 13, 2014 at 10:47:52AM +0100, Guillaume Dumas wrote:
>> > I thus wanted to first check with core dev team if this feature would
>> > be useful for scikit-learn, if anybody is already working on it, and if
>> > not if there are people who may be interested to help me checking and
>> > adapting the code for then make a correct pull-request.
>>
>> First you have to convince us that there is a strong interest in the
>> method. In particular, that there is a strongly-cited paper, that there
>> are a lot of usecases, and that the method will fit in the API:
>>
>> http://scikit-learn.org/stable/faq.html#can-i-add-this-new-algorithm-that-i-or-someone-else-just-published
>>
>> Choosing whether to include a method or not is a delicate choice.
>>
>> Gaël
>>
>>
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