DATA MINING QUESTION: Given a set of points A1 (2, 8), A2 (4, 5), A3 (8, 3), B1 (5, 8), B2 (7, 5), B3 (6, 9), C1 (1, 2), C2 (4, 10), where (x, y) represents location and the distance function is Euclidean distance. Our goal is to cluster these points into three clusters using k-means clustering, and the initial three centroids are A1, B1, and C1. Show the key steps of the first round of clustering.