Qi. (20 points) Suppose you are given 7 data points as follows: A-(1, 1); B (1.5, 2.0); C (3.0, 4.0); D (5.0, 7.0); E (3.5, 5.0); F (4.5, 5.0); and G (3.5, 4.5) Manually perform 2 iterations of K-Means clustering algorithm (slide 22 on clustering) on this data. You need to show all the steps. Use Euclidean distance (L2 distance) as the dis- tance/similarity metric. Assume number of clusters k=2 and the initial two cluster centers C1 and C2 are B and C respectively