I've added this PR, and I addressed in the comments some of your concerns
(publications, comparison to affinity propagation, etc).
https://github.com/scikit-learn/scikit-learn/pull/9329
I'd love for you to review, since this is my first PR in the scikit learn
repository
On Wed, Jul 12, 2017 at 1
If this is the first time you contribute, please make sure to
carefully read the contributors guide till the end:
http://scikit-learn.org/stable/developers/contributing.html
In particular, make sure to follow the estimators API conventions for
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You don't need our permission to submit a PR, go ahead! We welcome PRs.
On Mon, Jul 10, 2017 at 9:36 PM, Uri Goren wrote:
> I have,
> The only criterion that I am unsure about is the number citations.
>
> In the literature Markov clustering is usually compared to affinity
> prolongation, which a
I have,
The only criterion that I am unsure about is the number citations.
In the literature Markov clustering is usually compared to affinity
prolongation, which also has a similar number of citations.
I have attached my implementation in my github account for you to review.
Do I have your appr
hi,
did you have a look at :
http://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms
Alex
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Hi,
I've been advised to contact you before working on an implementation of a
new feature.
I am thinking of implementing the Markov clustering and add it to
sklearn.cluster module.
See:
https://micans.org/mcl/
https://gist.github.com/urigoren/1f76567f3af56ed8c33f076537768a60
Do you know if anyo
