Consider the agglomerative clustering algorithm using Euclidean distance to measure instance similarity. Given *instances with coordinates (1,1),
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Consider the agglomerative clustering algorithm using Euclidean distance to measure instance similarity. Given *instances with coordinates (1,1), (2,2), (5,3), (12,1) and (11, 22), respectively. Which instances should be clustered together in the first step? Show your calculation steps
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