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GATE 2026 · session-8
Machine LearningHierarchical ClusteringmediumMCQ2 marks
Let four points in three-dimensional space be: \(P1: [2, 3, -1]\), \(P2: [3, 1, 1]\), \(P3: [5, -2, 3]\) and \(P4: [3, 3, 3]\). Hierarchical Agglomerative Clustering is used to cluster the above points. If Manhattan Distance is used as the distance metric during clustering, which of the following options indicates the two points that will be merged first?
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