search for: fpartit

...k non-singleton clusters s(L1;L2): a similarity between two partitions 1: f = 0:8 2: T =cluster(X) fthe reference clustering 3: for i = 1 to num subsamples do 4: subi =subsamp(X; f) fsub-sample a fraction f of the datag 5: Ti=cluster(subi) 6: end for 7: for k = 2 to kmax do 8: L1=cut-tree(T; k) fpartition the reference clusteringg 9: for i = 1 to maximum iterations do 10: L2 =cut-tree(Ti; k) 11: S(i; k) = s(L2;L1) computed only on the patterns of subi. 12: end for 13: end for I am glad about any help, don't really know what to do! thanks, regards Julia --