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# Untitled

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1. [m,n]=size(D);
2.     for i=1:m-1
3.     if D(i,1)==D(i+1,1)
4.     D=reshape(D, 2, m/2*n);
5.     D=(D(i,:)+D(i+1,:))/2;
6.     D=reshape(D, m/2, n);
7.      else
8.       end
9.     end
10.
11. for row=0,row++
12.
13.     if ( m[row,1]  == m[row+1,1])
14.     {
15.         mean1 = mean(m[row]);
16.         mean2 = mean(m[row+1]);
17.         mean = mean(mean1,mean2);
18.     }
19.
20. end for
21.
22. index_row = 1:1:size(D, 1); % linear row index
23. index_valid = all(~diff(D(:,1:2)), 2); % valid rows (logical)
24.
25. mean_matrix = (D(1:end-1,:) + D(2:end,:))/2; % matrix of all means
26.
27. % matrix of valid mean rows only
28. mean_matrix_valid = mean_matrix(index_valid,:); % logical index
29. % linear index of valid rows, i.e. the pairs indexed (i, i+1)
30. index_row_valid = index_row(index_valid); % valid rows (int)
31.
32. D = [1 2 3 4 5; 1 1 1 1 1; 1 2 4 4 4; 1 2 3 3 3; 2 2 2 2 2; 2 2 3 3 3];
33.
34. >> D =
35.      1     2     3     4     5
36.      1     1     1     1     1
37.      1     2     4     4     4
38.      1     2     3     3     3
39.      2     2     2     2     2
40.      2     2     3     3     3
41.
42. >> index_valid =
43.
44.      0
45.      0
46.      1
47.      0
48.      1
49.
50. >> index_row_valid =
51.
52.  3     5
53.
54. >> mean_matrix_valid =
55.
56.     1.0000    2.0000    3.5000    3.5000    3.5000
57.     2.0000    2.0000    2.5000    2.5000    2.5000
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