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function [selectedFeatures scoreVector] = MIM(k, data, labels)
%function [selectedFeatures scoreVector] = MIM(k, data, labels)
%
%Mutual information Maximisation
%
% The license is in the license.txt provided.
numf = size(data,2);
classMI = zeros(numf,1);
for n = 1 : numf
classMI(n) = mi(data(:,n),labels);
end
[scoreVector index] = sort(classMI,'descend');
selectedFeatures = index(1:k);
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