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A. Inspect the data in the table below and suggest a K value. B. Use k-means algorithm and Euclidian distance to cluster data objects into

A. Inspect the data in the table below and suggest a K value. B. Use k-means algorithm and Euclidian distance to cluster data objects into 3 clusters, assuming the initial seeds (center for each cluster) are A2,A3, and A6 to fill the tables after the 1st iteration

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