Mathematics, 21.04.2020 19:12 ysabel0420
Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations:C1: {(2,2), (4,4), (6,6)}C2: {(0,4), (4,0)}C3: {(5,5), (9,9)}What will be the Manhattan distance for observation (9, 9) from cluster centroid C1. In second iteration. A. 10B. 5*sqrt(2)C. 13*sqrt(2)D. None of these
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Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After...
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