Hi,
Is there a generalization of the rand score when one wishes to compare more
than 2 clusterings at the same time? I am trying to see how similar are
the clustering results from multiple different algorithms, and it would
nice to do it this way.
I was thinking, a 'hackish' way of doing it would be something like:
score = 0
for l1, l2 in combinations(all_labels, 2):
score += adjusted_rand_score(l1, l2)
Where you sum up the pairwise comparisons.
Federico
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