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8. *) 12 For the dist For the distance matrix (Table 4), perform the iterations of agglomerative clustering (single linkage) and draw the corresponding Dendrogram. Table 4: Distance Matrix ABCD AOI145 RP AAN (b) Suppose you have got the result (shown in Table 5) of the confusion matrix of IRIS dataset after applying a clustering algorithm. Table 5: Confusion Matrix Predicted Class 1 2 3 1 4613 2 3 452 300 50 Actual Class Find out the precision and recall from the confusion matrix. it. Find out the F-Measure. ii. Find the cluster purity of individual clusters. "One of the problems with hierarchical clustering is that there is no objective way to say how many clusters are there." - Explain the assertion with example. 8. *) 12 For the dist For the distance matrix (Table 4), perform the iterations of agglomerative clustering (single linkage) and draw the corresponding Dendrogram. Table 4: Distance Matrix ABCD AOI145 RP AAN (b) Suppose you have got the result (shown in Table 5) of the confusion matrix of IRIS dataset after applying a clustering algorithm. Table 5: Confusion Matrix Predicted Class 1 2 3 1 4613 2 3 452 300 50 Actual Class Find out the precision and recall from the confusion matrix. it. Find out the F-Measure. ii. Find the cluster purity of individual clusters. "One of the problems with hierarchical clustering is that there is no objective way to say how many clusters are there." - Explain the assertion with example