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Two data files (a and b) are given below. (2-dimensional data) They are to be clustered by k-means, using the centers of the three circular

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Two data files (a and b) are given below. (2-dimensional data) They are to be clustered by k-means, using the centers of the three circular regions as initial seeds. (Why did I say to use the center of each circle as initial seed, since k-means would not be so clever as to do so? I did because in part (b) the goal is to show that even if we tell k-means the "right" answer, k-means will insist on giving us back the "wrong" answer.) 2. Use a k-means implementation (either an existing one or an implementation cf your own) and perform it on the two datasets and show the final clustering results, using the provided "right" centroids (see the attached data files) as the initial seeds (k-3). Briefly explain the result of (b). (40 pts) 5400 Two data files (a and b) are given below. (2-dimensional data) They are to be clustered by k-means, using the centers of the three circular regions as initial seeds. (Why did I say to use the center of each circle as initial seed, since k-means would not be so clever as to do so? I did because in part (b) the goal is to show that even if we tell k-means the "right" answer, k-means will insist on giving us back the "wrong" answer.) 2. Use a k-means implementation (either an existing one or an implementation cf your own) and perform it on the two datasets and show the final clustering results, using the provided "right" centroids (see the attached data files) as the initial seeds (k-3). Briefly explain the result of (b). (40 pts) 5400

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