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It is easier to do as many class divisions as you have positions in each tuple (I guess tuple is a better word in stead of set, since you have the same number of elements in each of them):

Class(a1): {{t1, t2, t3}, {t4}} Class(a2): {{t1, t3, t4}, {t2}} Class(a3): {{t1, t4}, {t2, t3}}

While you divide into classes, you'll easilly be able to maintain a distance map like so:

After processing Class(a1): \ t1 | t2 | t3 | t4 t1 0 | 0 | 0 | 1 t2 0 | 0 | 1 t3 0 | 1 t4 0 After processing Class(a2): \ t1 | t2 | t3 | t4 t1 0 | 1 | 0 | 1 t2 0 | 1 | 2 t3 0 | 1 t4 0 After processing Class(a3): \ t1 | t2 | t3 | t4 t1 0 | 2 | 1 | 1 t2 0 | 1 | 3 t3 0 | 2 t4 0

This way, you can get complexity O(m * n) where m is the number of tuples and n is the size of the tuples.

In reply to Re: Sets of subsets by mzedeler
in thread Sets of subsets by jpearl

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