Computers and Technology, 22.04.2020 03:59 gjvyverman

Suppose that the data mining task is to cluster points (with (x, y) representing location) into three clusters, where the points are A1(4, 8), A2(2, 4), A3(1, 7), B1(5, 4), B2(5, 7), B3(6, 6), C1(3, 7), C2(7, 8). The distance function is Euclidean distance. Suppose initially we assign A1, B1, and C1as the center of each cluster, respectively. Please use the k-means algorithmand show your R code.(a)the three cluster centers after the first round of execution. (b)the final points in the three clusters after the algorithm stops.

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Suppose that the data mining task is to cluster points (with (x, y) representing location) into thre...

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