X1 X2 •ХЗ Figure 2 2. (10 pts) (check the k-means slides of clustering.pptx) In Figure 2, k-means is applied to clusteri

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X1 X2 •ХЗ Figure 2 2. (10 pts) (check the k-means slides of clustering.pptx) In Figure 2, k-means is applied to clustering the three points with k=2. The distances have the following relationship: D(X1, X3) = D(X1, X2) and D(X1, X2) > 2*D(X2, X3). The initial centroids are randomly selected from the three points. Will different random initial centroids give different clustering results? Briefly justify your answer.