Hello, i look for a good way to find the optimal number of cluster for a special problem !
Is it right to sum the distanceValues^2 and look for the point where these sumOfEuclideanDistance have the most lost from one to the next ClusterSolution ? P.S. I hope my english is not to bad ;-( thanks for advance & regards christian ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================