
Considering the K-means algorithm, after current iteration, we have 4 centroids: Centroid of cluster 1 (0, 1) Centroid of cluster 2 (2, 2) Centroid of cluster 3 (-3, 4) Centroid of cluster 4 (3, -1) Using Manhattan Distance defined
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