Question
Why can two runs of k-means on the same data produce different clusters?
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Correct Answer: A. The algorithm can be sensitive to its initial centroid locations
Explanation:
Different starting centers can lead the iterative process toward different local solutions. Initialization therefore affects the final partition and objective value.
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