5. Given the parameters centroids A, B, and C shown in the figure below, use your knowledge of the k-Means algorithm to fill out the table by computing Euclidean distance from each point to each centroid. Use your calculations to assign each point to the most appropriate cluster. Show your work. (30 points) Point Distance from A Distance from B Distance from C Assign to Cluster (2, 2) (8,5.75) (6,5) (6.5, 2.5) (4,8) (3, 3) (7,9) ***Bonus: Once you have filled out the table, recompute the new centroids. (5 points) 5. Given the parameters centroids A, B, and C shown in the figure below, use your knowledge of the k-Means algorithm to fill out the table by computing Euclidean distance from each point to each centroid. Use your calculations to assign each point to the most appropriate cluster. Show your work. (30 points) Point Distance from A Distance from B Distance from C Assign to Cluster (2, 2) (8,5.75) (6,5) (6.5, 2.5) (4,8) (3, 3) (7,9) ***Bonus: Once you have filled out the table, recompute the new centroids. (5 points)