Q. Given a set of five points 0.1, 0.6, 0.8, 2.0, and 3.0, draw the dendogram (clustering tree) that results from applying agglomerative clustering to this data where - each cluster is represented by its cluster centroid which is the mean (average) of all of its cluster members - dissimilarity between clusters is computed as the distance between their cluster centroids using Euclidean distance