from
Mutual Information In probability theory and information theory
by Guangdi Li
Code for marginally and conditional mutual information in probability and information theory
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| DiscardNoneExist( OriginalData,TestVector )
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function [Discard,TotalNumber ] = DiscardNoneExist( OriginalData,TestVector )
% This function return a matric indicating the useful rows in OriginalData.
% Input: TestVector is the variables in OriginalData
% TestVector is the set of variables.
% Output: Discard is a tag matric showing which rows in OriginalData are used
% U is the given value when the data is invalid.
N = size(OriginalData,1); % U;
Discard = zeros(1,N);
TotalNumber = 0;
for p=1:N
d = 1;
for q = 1:size(TestVector,2)
if OriginalData(p,TestVector(q)) == -1 % Here we assume U =-1
d = 0;
break;
end
end
if d==0
Discard(p) = 1;
TotalNumber = TotalNumber + 1;
end
end
end
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