This is somewhat of a combinatorial problem; I'm trying to figure out an efficient way to pair up all items in a data set.
For example, I have an array of length 6: [1,2,3,4,5,6], and I want to make all possible pairings of the contents in the array as so:
[1,2],[3,4],[5,6]
[1,2],[3,5],[4,6]
[1,2],[3,6],[4,5]
[1,3],[2,4],[5,6]
[1,3],[2,5],[4,6]
...
and so on. In this example, there would be 15 combinations total. In general, the number of possibilities in this solution should be (N-1)!! where N is the length of the array or the number of items to be paired up. N will always be even in this case. Ideally, an algorithm will generate all possibilities serially, without having to store very large arrays.
For example, one way would work somewhat like a 'round robin' scheduling algorithm where you split the array into N/2:
[1,2,3]
[4,5,6]
and rotate the [5,3,6] clockwise to generate 3 unique pairings (counting vertically) with [1,2,4] fixed as so:
[1,2,3]
[4,5,6]
[1,2,5]
[4,6,3]
[1,2,6]
[4,3,5]
and then rotate [4,2,3,6,5] clockwise to generate 5 unique pairings with [1] fixed, going from the smallest innermost case (N=4) outwards until the end, but recursively. As it is I'm not sure how to best express this as code or if there is a more efficient way of doing this, as N can be very large.