I would like to evaluate the performance of k-means. I saw the below cost function (1) online, where wik=1 for data point xi if it belongs to cluster k; otherwise, wik=0. Also, μk is the centroid of xi’s cluster. But I don't know what 'm' is.
Does anyone understand what 'm' is in the below cost function?