b) Suppose you have got the result (shown in Table 5) of the confusion matrix of...

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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 3 1 46 1 3 2 3 45 2 3 50 Find out the precision and recall from the confusion matrix. Find out the F-Measure. Find the cluster purity of individual clusters. 4 3 ii. "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. 4 Actual Class 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 3 1 46 1 3 2 3 45 2 3 50 Find out the precision and recall from the confusion matrix. Find out the F-Measure. Find the cluster purity of individual clusters. 4 3 ii. "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. 4 Actual Class

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