Hi Ilya.
Thanks for your interest in contributing.
I am not expert in affinity propagation, so it would be great if you
could give some details of what the advantage of the method is.
The reference paper seems to be an arxiv preprint with 88 citations,
which would probably not qualify for inclusion in scikit-learn,
see the FAQ
http://scikit-learn.org/dev/faq.html#can-i-add-this-new-algorithm-that-i-or-someone-else-just-published
It might be a candidate for an external experimental / contribution
project, which has been an idea that has been floating around for a while.
Cheers,
Andy
On 12/02/2014 09:06 AM, Илья Патрушев wrote:
Hi everybody,
As far as I am aware, there is no adaptive affinity propagation
clustering algorithm implementation in neither the stable nor the
development version of sklearn.
I have recently implemented the adaptive affinity propagation
algorithm as a part of my image analysis project. I based my
implementation on the paper by Wang et al., 2007 and their Matlab
code, and sklearn's affinity propagation algorithm. This is not
exactly a port of Matlab code since I have slightly modified the
Wang's approach to deal with oscillations and added an optional upper
limit on number of clusters.
I am planning to submit the code to sklearn eventually. So please let
me know if anybody already works on the algorithm, as we could join
our efforts and save some time.
Best wishes,
ilya.
--
Ilya Patrushev, PhD.
MRC National Institute for Medical Research
The Ridgeway
Mill Hill
London NW7 1AA
UK
Tel: 0208 816 2656
Fax: 0208 906 4477
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