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)