The median cut algorithm is a popular algorithm for color quantization, but can be applied to virtually any point clustering problem. In outline, it works as follows:   * Let B be a set of boxes containing points, initially containing only a single box containing all points.   * While the number of boxes in B is less than desired number of clusters...         o Find the largest side length of any side of any box.         o Cut that box into two boxes along its largest side in such a way that half the contained points fall into each new box.         o Shrink the two new boxes so that they are just large enough to contain their points.       If anyone need any help how to do without my code just post comment I will try to give proper direction to do it.     CoDe     *****************************************************************************        /**      * @(#)box.java      *      *      * @author sharma      * @version 1.00 2011/7/8      */       public class Box {              publ...
Network programming and scalable micro-services in Azure