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K Means Clustering Algorithm | K Means Solved Numerical Example | Euclidean Distance by Mahesh Huddar Suppose that the data mining task is to cluster points into three clusters, where the points are A1(2, 10), A2(2, 5), A3(8, 4), B1(5, 8), B2(7, 5), B3(6, 4), C1(1, 2), C2(4, 9). The distance function is Euclidean distance. Suppose initially we ...
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