Displaying 1 result from an estimated 1 matches for "189_1c5".
Did you mean:
189_1c1
2008 Feb 20
1
clustering problem
.... I have lots of
objects which I have measured a dissimilarity between. Now, this list
only has one entry per pair, so it is not symmetrical.
Example input:
NameA NameB Dist
189_1C2 189_1C1 0
189_1C3 189_1C1 0.017
189_1C3 189_1C2 0.017
189_1C4 189_1C1 0
189_1C4 189_1C2 0
189_1C4 189_1C3 0.017
189_1C5 189_1C1 0.05
189_1C5 189_1C2 0.05
189_1C5 189_1C3 0.067
189_1C5 189_1C4 0.05
189_1C6 189_1C1 0.05
189_1C6 189_1C2 0.05
189_1C6 189_1C3 0.067
189_1C6 189_1C4 0.05
189_1C6 189_1C5 0
The distance measure is 0 if identical, and then increases with
increasing dissimilarity up till 1.
What I would lik...