MATLAB: How to find euclidean distance between training and test data

for loopvectors

I have two matrices A of size 2×5 and B of size 2×2 such that each column is a feature vector. I want to calculate the euclidean distance between A and B. i.e I want to calculate the euclidean distance between first column of B with every column of A and similarly need to calculate the second column of B with every column of A .
   A=rand(5,2);
   B=rand(2,2);
      for i=1:2
        for j=1:5
         d=sqrt(B(i,:)-A(j,:));
    end
end

Best Answer

Statistics toolbox:
 d = pdist2(A.', B.');
pdist2 normally operates row by row, which is why the .' are there, to make your column-oriented data into row-oriented data.
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