Displaying 1 result from an estimated 1 matches for "clusteringg".
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clustering
2007 Oct 09
1
pseudo code
...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
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