a) Using the k-means clustering algorithm, Cluster the following eight points (with (x,y) representing locations) into three clusters. Initial cluster means are A1, A4, and A7. A1 (2,10),A2(2,5),A3(8,4),A4(5,8),A5(7,5),A6(6,4),A7(1,2),A8(4,9) b) Use the following data points to form the density-based clusters where eps=10 and MinPts=3. Clearly mention your steps and tell the noise points as well. A1 (0,10), A2 (0?,20), A3 (0,27),A4(10,15),A5(20,10),A6(25,20), A7 (0,30), A8 (10,20), A9 (60,70),A10?(65,70),A11(67,71),A12(67,72), A13 (5,40)?