MIC

function minestats = mine(x, y, alpha, c) % MINE  Maximal Information-based Nonparametric Exploration %    %   Returns a struct containing MIC, MAS, MEV, MCN (eps=0) and %   MCN_GENERAL (eps=1-MIC). % %   MINESTATS = MINE(X, Y, ALPHA, C) computes the MINE statistics %   between X and Y. X and Y must be row vectors of size n. %   Alpha is the exponent in B(n) = n^alpha and must be in (0, 1.0]. %   Parameter c determines how many more clumps there will be than  %   columns in every partition and must be > 0. % %   MINESTATS = MINE(X, Y, ALPHA) computes the MINE statistics %   between X and Y. Default value of c is 15. % %   MINESTATS = MINE(X, Y) computes the MINE statistics  %   between X and Y. Default value of alpha is 0.6 and default value  %   of c is 15. % 

ref
Detecting Novel Associations in Large Data Sets.pdf
mine.exe
minepy documentation.pdf
minepy support materia.pdf
minepy-1.0.0
minepy-1.0.0.tar.gz
minepy-1.0.0.win32-py2.7.exe
minepy.pdf
minerva and minepy a c engine for the mine suite and its R Python and matlab wrappers.pdf
minepy-1.0.0