Clustering 1. consider the following eight points in 2-dimensional space: (2,10); (2,5); (8,4); (5,8); (7,5); (6,4); (1,2); (4,9). suppose we plan to use the euclidean distance metric and that we are interested in clustering these points into 3 clusters. plot the data by hand on paper to see what might be appropriate clusters.