Tuesday, November 11, 2008

Re: Doubt Q2

Yes, taking (1-sim(c,d)) would be a fine way to convert similarity into distance (assuming of course that the similarity is between 0 and 1).


On Mon, Nov 10, 2008 at 7:25 PM, suganthi cidambaram <Suganthi.Cidambaram@asu.edu> wrote:
Dear Dr. Rao
Question2 asks us to find cluster dissimilarity measure ( which is defined as the sum of similarities of docs from their resp. cluster centers). But here we are using Jaccard similarity, so was wondering how would the sum of similarity give the dissimilarity. Summation seems to make sense for Euclidean Dist.
So should I be doing summation of (1-sim(c,d)) when using Jaccard Sim.
Thank You.

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