Re: How Many Iterations to Pick Best KCluster?
Each experiment should start with a random selection of points without regard to the data set. Lloyd's algorithm is then applied to these points to discover a set of centroids. This is unsupervised learning; i.e., the training data labels are not considered. It is not intended that one should find the optimal centroids, only that one finds some set of kmeans clusters.
