compute mapping matrix between two label matrix
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I have a label matrix A, another label matrix B:
A = [1 1 1 2 3 3
1 1 2 2 3 3
4 1 2 2 3 3
4 4 5 5 5 5]
B = [10 10 12 12 12 11
10 10 12 12 11 11
14 14 12 11 11 11
14 14 7 7 7 12]
how can I compute a mapping matrix C such that C(A) is most similar to B. Each C(i) should take the major element of B(A==i). For example,
C = [10
12
11
14
7]
% means
% for B(A==1), most elements are 10.
% for B(A==2), most elements are 12.
% for B(A==3), most elements are 11.
% for B(A==4), most elements are 14.
% for B(A==5), most elements are 7.
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Muthu Annamalai
2015-7-17
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