Question
2. (a) Briefly explain Supervised learning, Unsupervised learning and Semi-Supervised learning with appropriate example. (10 Marks) (b) Briefly outline how to compute the dissimilarity between
2. (a) Briefly explain Supervised learning, Unsupervised learning and Semi-Supervised learning with appropriate example. (10 Marks)
(b) Briefly outline how to compute the dissimilarity between objects described by the following: i. Binary attributes ii. Ordinal attributes (10 Marks)
(c) Given two objects represented by the tuples (72, 1, 42, 10) and (21, 0, 36,10): i. Compute the Euclidean distance between two objects. ii. Compute the Manhattan distance between two objects. iii. Compute the Minkowski distance between two objects, using h = 4. iv. Compute the Supremum distance between two objects. (10 Marks)
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