Suppose I have a matrix defined as follows
M = [C1 C2 C3 C4]
Where the C\'s are column vectors I want some efficient (i.e. no for loops) wa
This is the simplest way I've come up with:
n = size(M, 2);
[j, i] = ind2sub([n n], find(~triu(ones(n))));
ResultVec = M(:, [i j]);
ResultVec = reshape(ResultVec, [], 2)
That is, what nchoosek
does:
M = [ 1 2 3 4 ];
R = nchoosek(M,2);
returns:
R =
1 2
1 3
1 4
2 3
2 4
3 4
I don't know if it's your intention but nchoosek
is Matlabs implementation of The number of k-combinations from a given set S of n elements without repetition (Wikipedia)
The function nchoosek
is performance wise not very efficient though. But there are equivalents on File Exchange, which are much(!!) faster and doing the same.
Just to make it clear, it's not just working for the fairly simple example above, and is not returning any indices. It directly transforms the matrix as desired.
M = [ 21 42 123 17 ];
returns:
R =
21 42
21 123
21 17
42 123
42 17
123 17