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( a ) Apply Apriori to the dataset in Q 1 - ( c ) to find frequent itemsets for the minimum support value of

(a) Apply Apriori to the dataset in Q1-(c) to find frequent itemsets for the minimum support value of 0.5. Show your work of identifying the candidate and frequent 1- itemsets, 2-itemsets, and so on.[12]
(b) Apply k-means to cluster the data points with the initial centroids as follows. Show your work of computing the distances (presented in 2 decimal places) and centroid updates in each iteration of k-means. In case of tie in distance comparison, put the data point to the first cluster. [13]
Data points: (0,1),(5,2),(4,1),(4,2),(2,1),(6,3), and (1,3)
Initial centroids of C0 and C1: (2,1) and (4,3)

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