a. When should you use a clustering algorithm instead of a classification algorithm to analyze your data? b. Consider the following datasets. A B 0.8 6.3 1.4 8.1 1.2 7.4 6.2 14.3 6.8 11.6 C. Suppose k=2 and the initial (arbitrary) centroids are: (0.8, 6.3), and (6.8, 11.6). Show how you would cluster each instance based on the K-means algorithm using the Euclidean distance. Show only one iteration to cluster the data points.