Thanks for pointing that out, I sort of picked it up by word of mouth so I'd assumed it had a bit more precedence in the academic world.
I'll look into it a little more, but I'd definitely be interested in contributing something else if that doesn't work out. -Allan On Sat, Dec 3, 2016 at 4:45 PM, Andy <t3k...@gmail.com> wrote: > 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 > > [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 > > [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 > > [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 > > [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> 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 >> >> >> _______________________________________________ >> scikit-learn mailing >> listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn >> >> _______________________________________________ scikit-learn mailing >> list scikit-learn@python.org https://mail.python.org/mailma >> n/listinfo/scikit-learn > > _______________________________________________ > scikit-learn mailing > listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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