1a. Missing values is a common problem in data analysis. What ismeant by “Missing At Random (MAR)”?
1b. Briefly discuss the two standard approaches to dimensionalityreduction in data analysis. Give one major difference between thesetwo approaches.
1c. Given the two-dimensional dataset
{(1, 7), (4, 2), (3, 8.5), (6.6, 9), (1, 9.5), (4, 7)}
and assuming that we measure distance between points using thestandard
Euclidean distance:
i. Apply hierarchical agglomerative clustering to obtain 3 clustersfirst by using single linkage and then by using complete linkage.Do you obtain different clusters? Show your results using adendrogram and justify your answer. [12 marks]
ii. Apply the K-means clustering algorithm to obtain
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