Consider the following points P1=(7,5) P2=(6,4) P3=(1,2) P4=(4,9) P5=(2,10) P6=(2,5) P7=(8,4) P8=(5,8) Use k-means clustering to group the points into 3 clusters Assume that we need to cluster seven observations into three clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations: C1: {(2,2), (4,4), (6,6)} C2: {(0,4), (4,0)) C3: {(5,5), (9,9)} What will be the Manhattan distance for observation (9, 9) from cluster centroid C1 in second iteration