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), AB (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), AS (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)