You have a dataset as (2,2), (4,4), (5,5), (6,6), (8,8), (9,9), (0,4), (4,0) You are using the k-Means algorithm with L1 (Manhattan) distance with 4 clusters. At a certain point in your algorithm you have the following clusters: Cluster1: {(2,2), (4,4), (6,6)} Cluster2: {(0,4), (4,0)} Cluster3: {(5,5), (9,9) } Cluster4: {(8,8)} You run the k-Means algorithm for one more loop/iteration. What are the clusters now? What are the centroids now?