%SYMMETRICUNCERTAINTY symmetric redundancy measure for categorical-discrete %data%   SU = SYMMETRICUNCERTAINTY(X,Y) returns the symmetric uncertainty between%   the two column vectors X and Y containing categorical measures.%%   SYMMETRICUNCERTAINTY [1] computes a symmetric scaled information %   measure based on mutual information [2][3] normalized to entropies of %   each variable X and Y%%   Joaquin Go?i <jgoni@unav.es> & %   I?igo Martincorena <imartincore@alumni.unav.es>%   University of Navarra - Dpt. of Physics and Applied Mathematics &%   Centre for Applied Medical Research. Pamplona (Spain).%%   December 13th, 2007. Information Theory Toolbox v1.0%%   Example:%   %       x = [1;2;2;2;0;0;1;0;1;2];%       y = [1;2;2;2;2;1;0;2;1;0];%       su = symmetricuncertainty(x,y);%%   Citation:%%   If you use them for your academic research work,please kindly cite this %   toolbox as: %   Joaquin Go?i, I?igo Martincorena. Information Theory Toolbox v1.0.  %   University of Navarra - Dpt. of Physics and Applied Mathematics & %   Centre for Applied Medical Research. Pamplona (Spain).%%   References%   [1] Witten, Ian H. & Frank, Eibe (2005), Data Mining: Practical Machine %   Learning Tools and Techniques, Morgan Kaufmann, Amsterdam.%   [2] C. E. Shannon, A mathematical theory of communication, Bell System %   Technical Journal, vol. 27, pp. 379-423 and 623-656, July and October, %   1948.%   [3] http://en.wikipedia.org/wiki/Mutual_informationfunction su = symmetricuncertainty(x,y)su = 2*redundancy(x,y); %SU = 2* I(X;Y) / (H(X) + H(Y)) = 2*R see redundancy for more information.