title: how to do clustering with similarity as a measure?
body: <p>I read about spherical kmeans but i did not come across an implementation.To be clear, similarity is simple the dot product of two document unit vectors.I have read that standard k means uses distance as measure. Is the distance being specified the vector distance just like in coordinate geometry sqrt((x2 -x1)^2 + (y2-y1)^2)? </p>