Hey Allan.

None of the references apart from the last one seems to be published in a peer-reviewed place, is that right? And "A stochastic uncoupling process for graphs" has 13 citations since 2000. Unless there is a more prominent
publication or evidence of heavy use, I think it's disqualified.
Academia is certainly not the only metric for evaluation, so if you have others, that's good, too ;)

Best,
Andy

On 12/03/2016 04:33 PM, Allan Visochek wrote:
Hey Andy,

This algorithm does operate on sparse graphs so it may be beyond the scope of sci-kit learn, let me know what you think. The website is here <http://micans.org/mcl/>, it includes a brief description of how the algorithm operates under Documentation -> Overview1 and Overview2.
The references listed on the website are included below.

Best,
-Allan

[1] Stijn van Dongen. /Graph Clustering by Flow Simulation/. PhD thesis, University of Utrecht, May 2000. http://www.library.uu.nl/digiarchief/dip/diss/1895620/inhoud.htm <http://www.library.uu.nl/digiarchief/dip/diss/1895620/inhoud.htm>

[2] Stijn van Dongen. /A cluster algorithm for graphs/. Technical Report INS-R0010, National Research Institute for Mathematics and Computer Science in the Netherlands, Amsterdam, May 2000. http://www.cwi.nl/ftp/CWIreports/INS/INS-R0010.ps.Z <http://www.cwi.nl/ftp/CWIreports/INS/INS-R0010.ps.Z>

[3] Stijn van Dongen. /A stochastic uncoupling process for graphs/. Technical Report INS-R0011, National Research Institute for Mathematics and Computer Science in the Netherlands, Amsterdam, May 2000. http://www.cwi.nl/ftp/CWIreports/INS/INS-R0011.ps.Z <http://www.cwi.nl/ftp/CWIreports/INS/INS-R0011.ps.Z>

[4] Stijn van Dongen. /Performance criteria for graph clustering and Markov cluster experiments/. Technical Report INS-R0012, National Research Institute for Mathematics and Computer Science in the Netherlands, Amsterdam, May 2000. http://www.cwi.nl/ftp/CWIreports/INS/INS-R0012.ps.Z <http://www.cwi.nl/ftp/CWIreports/INS/INS-R0012.ps.Z>

[5] Enright A.J., Van Dongen S., Ouzounis C.A. /An efficient algorithm for large-scale detection of protein families/, Nucleic Acids Research 30(7):1575-1584 (2002).


On Sat, Dec 3, 2016 at 3:34 PM, Andy <t3k...@gmail.com <mailto:t3k...@gmail.com>> wrote:

    Hi Allan.
    Can you provide the original paper?
    It this something usually used on sparse graphs? We do have
    algorithms that operate on data-induced
    graphs, like SpectralClustering, but we don't really implement
    general graph algorithms (there's no PageRank or community detection).

    Andy


    On 12/03/2016 12:19 PM, Allan Visochek wrote:
    Hi there,

    My name is Allan Visochek, I'm a data scientist and web developer
    and I love scikit-learn so first of all, thanks so much for the
    work that you do.

    I'm reaching out because I've found the markov clustering
    algorithm to be quite useful for me in some of my work and
    noticed that there is no implementation in scikit-learn, is
    anybody working on this? If not, id be happy to take this on. I'm
    new to open source, but I've been working with python for a few
    years now.

    Best,
    -Allan


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