Question 3 You are conducting an analysis of customer's shopping behaviours for a major grocery chain. You have been provided with a data set of customer transactions, as shown in following Table. Transaction Apples Oranges Bananas Lemons Grapes Pineapples 1 1 1 1 0 1 0 2 1 1 0 0 1 1 3 0 1 1 1 4 1 1 1 1 1 5 0 1 a) Use the a priori method to identify all hem sets with a frequency of 3 or above. Show your workings and provide an interpretation of your final result (35 marks) b) Use the Manhattan distance to calculate the dissimilarity matrix between the different fruit types. Based on your result, identify which fruits are the most similar and which ones are the least similar, and explain what this means in the context of your data. (35 marks) c) Apply hierarchical single-link clustering to this dissimilarity matrix, sketching out the resulting dendrogram. (30 marks)