1. For the following data set, use K-means to do clustering, with K=2, and P1 and P2 as the initial centers of the two clusters. Use Euclidean distance to measure the distance between two data objects. You are only required to compute the cluster assignment of each data object and the centers of the two clusters AFTER THE FIRST ITERATION. If a data object is equally distant from the two clusters, break the tie by randomly picking either cluster. P1: 0,0 P2: 1,0 P3: 0,1 P4: 1 , 1 P5: 7,6 P6: 7,7 P7: 8,6 P8: 8,7 P9: 8,8 P10: 12 , 2