If i have two binary matrix how can calculate the similarities between them
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Firas Al-Kharabsheh
le 5 Mai 2016
Commenté : Walter Roberson
le 6 Mai 2016
If i have (n,m) matrix M
M = [ 1 0 1 1 0 1
0 1 1 0 0 1
0 0 1 0 1 0
1 1 1 1 0 0]
And after some operation i found this two matrix which every one shows the number of group of ones in each row and in each column
M_row = [ 1 2 1
2 1 0
1 1 0
4 0 0 ]
M_col = [ 1 1 0 1 0
1 1 4 1 2 ]
After that generate a random matrix X in same size of M and then calculate the X_row and X_col like Matrix M
After that i need some way or a function to determine the similarities between M and X using the M_row ,M_col , X_row and X_col
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Walter Roberson
le 6 Mai 2016
Modifié(e) : Walter Roberson
le 6 Mai 2016
if isequal(M_row, X_row) && isequal(M_col, X_col)
similarity = 1;
else
similarities = {'purple', 'tuba', 'beer', 'tardigrade', 'top quark'};
similarity = similarities{randi(length(similarities))};
end
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Walter Roberson
le 6 Mai 2016
Well, here it is in function form then:
function similarity = compare_Mx(M_row, M_col, X_row, X_col)
if isequal(M_row, X_row) && isequal(M_col, X_col)
similarity = 1;
else
similarities = {'purple', 'tuba', 'beer', 'tardigrade', 'top quark'};
similarity = similarities{randi(length(similarities))};
end
end
The result of the function is the similarity level that is computed. The function meets all of your specifications for how similarity is to be computed. If it does not produce the answer that you want, then perhaps you should change your specification of "similarity".
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