At the left is a figure showing a distribution of objects with only two real-valued metrics. These metrics will be used to perform a K-means clustering of this data for some of the distance measures (N values) and different objectives to minimize. In all cases, Evolutionary Programming is used to optimize the initial placement of 5 centroids. Maximum Distance to Centroid N=1 N=2 N=Inf Total Distance to Centroid N=1 N=2 N=Inf