(total 6pts) Manually implement K-Mean The dataset contains 10 2-d points (5.9, 3.0), (4.6, 3.0), (6.2, 2.8), (4.7, 3.2)

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(total 6pts) Manually implement K-Mean The dataset contains 102-d points (5.9, 3.0), (4.6, 3.0), (6.2, 2.8), (4.7, 3.2), (5.5,4.2), (5.0, 3.0), (4.9, 3.1), (6.7, 3.0), (5.2, 3.8), (6.0,3.0)
Assume K=3, the initial means are
Red: (6.2, 3.2)
Green: (6.6, 3.7)
Blue: (6.5, 3.0)
1a.(2pts) What is the center of the first cluster (red) afterone iteration?
1b. (2pts) What is the center of the second cluster(green) aftertwo iterations?
1c. (2pts) What is the center of the third cluster (blue) whenthe clustering converges?