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Measures of closeness between distributions, clusterings, data sets or other objects.

6 votes
1 answer
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Turn a distance measure into a kernel function

I have read here that an easy way to turn a distance function $d$ into a similarity function $s$ is to compute: $s = e^{-\gamma * d}$. I believe that this is also what is done with the RBF kernel. The …
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