The dissimilarity matrix, is an NX N matrix whose OA) element equals the dissimilarity (distance)… 1 answer below »

1. Agglomerative clustering: Let X= {xi, i = 1 …. 5), with xi =[1,1]r, x2 12,1r, X3 =[50. X4 =[6.51T, and is 16.5,6r. The pattern matrix of Xis built as

D(X)=

5 4 6 5 6.5 6

The dissimilarity matrix, is an NX N matrix whose OA) element equals the dissimilarity (distance) between vectors xi and NJ, (week 6, slide 54). (a) Compute the dissimilarity matrices for D(X) based on 1) the Euclidean (L2 norm) distance, and 2) the Manhattan (absolute) distance (i.e. LI norm distance of the vectors). (b) Build and show dendrograms based on each of the dissimilarity matrices computed in (a). (c) Perform agglomerative clustering based on single linkage (week 6, slide 60) for K = 2, 3, 4 number of clusters. Show the clusters. (d) Perform agglomerative clustering based on complete linkage for K = 2. 3. 4. Show the clusters.

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