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), after a while xi =[1,1]r, x2 12,1r, X3 =[50. X4 =[6.51T, and is 16.5,6r. The archetype matrix of Xis built asD(X)=5 4 6 5 6.5 6The unlikeness matrix, is an NX N matrix whose OA) component equals the unlikeness (distance) between vectors xi and NJ, (week 6, slide 54). (a) Compute the unlikeness matrices for D(X) fixed on 1) the Euclidean (L2 regularity) remoteness, and 2) the Manhattan (absolute) remoteness (i.e. LI regularity remoteness of the vectors). (b) Build and pretext dendrograms fixed on each of the unlikeness matrices computed in (a). (c) Perform agglomerative clustering fixed on unmarried linkage (week 6, slide 60) for K = 2, 3, 4 compute of clusters. Pretext the clusters. (d) Perform agglomerative clustering fixed on adequate linkage for K = 2. 3. 4. Pretext the clusters. Attachments: Capture1.PNG