Question: 5. (20 pts) (Hierarchical Clustering) Five, two-dimensional data points are shown below with their distance matrix, i.e., the symmetric matrix that gives the pairwise distance

5. (20 pts) (Hierarchical Clustering) Five, two-dimensional data points are shown

below with their distance matrix, i.e., the symmetric matrix that gives the

5. (20 pts) (Hierarchical Clustering) Five, two-dimensional data points are shown below with their distance matrix, i.e., the symmetric matrix that gives the pairwise distance between any two points. x 4 5 -0.43 1.19 1.12 1.24 | 4.65 1.19 2.12 1.14 0.12 0.04 0.40 1.23 0.? 0.33 0.00 1.42 -1'14 0.17 1.43 0.00 Use the distance matrix to perform the following two types of hierarchical clustering: MIN (Single link) and MAX (Complete link) distance. Show your results by drawing a dendrogram. Note: the dendrogram should clearly show the order in which the points are merged

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