Hierarchical clustering is sometimes used to generate K clusters, where K > 1, by taking the clusters at the Kth level of the dendrogram. (Root is at level 1.) By looking at the clusters produced in this way, we can evaluate the behavior of hierarchical clustering on different types of data and clusters, and also compare hierarchical approaches to K-means. The following is a set of one-dimensional points: 6, 12, 18, 24, 30, 42, 48.(d) Which technique, K-means or single link, seems to produce the

Understanding Data Structures: Types and Applications