Suppose that the data mining task is to cluster points (with (x,y) representing location) into three clusters, where the
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Suppose that the data mining task is to cluster points (with (x,y) representing location) into three clusters, where the
Suppose that the data mining task is to cluster points (with (x,y) representing location) into three clusters, where the points are A1(2,10),A2(2,5),B1(5,8), B2(7,5),B3(6,4),C1(1,2),C2(4,9). The distance function is Euclidean distance. Suppose initially we assign A1,B1,C1 as the center of each cluster, respectively. Use the k-means algorithm to show the three clusters and their centroids after two rounds of execution.
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