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markov cluster algorithm - python
This library looks great, but I have a quick question. Most of the resources that I have read (listed below) suggest that the expand step takes place before the inflate step. In this library, however, the inflation step occurs before the expansion step.
I think that the first inflation/normalization will leave the matrix unchanged. During the last iteration, however, the matrix will not be inflated/normalized after being expanded. Does this divert from the algorithm in any meaningful way, and is it an issue?
http://micans.org/mcl/sec_description1.html
https://www.cs.ucsb.edu/~xyan/classes/CS595D-2009winter/MCL_Presentation2.pdf
I'm trying to implement this algorithm implementation on weighted graph.
Does the library support it? If yes, how can I use that feature?
Hi guys, thanks for make this repo. I think it would be nicer if you support pip and conda for this lib.
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