Fixed a flaw in the k-means implementation: Cluster means were being
updated (from the current set of members) when calculating each tuple's
distance to a cluster's mean, instead of just updating the cluster means
after one full pass of placing the tuples in clusters.  This fix results
in a dramatic speed increase!