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comment k-means implementation with custom distance matrix in input
Thanks for your answer! Actually I don't have a real distances matrix but a similarity matrix (0...1) among objects, and the similarities are not calculated exactly using euclidian distances but with a custom algorithm that take into consideration the raw data but not in the standard way. I guess in this case I can't apply your procedure, am I right?
Jun
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comment k-means implementation with custom distance matrix in input
Hi, thanks for the answer; instead of directly give the distance matrix would it be possible to give as input a custom distance metric? The point is that I have to compare two clusterings methods and, since in the second one I use a custom similarity matrix, I want to use the same approach with kmeans in order to get a fair comparison.
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asked k-means implementation with custom distance matrix in input