Question
Why should k-means results be interpreted cautiously?
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Correct Answer: B. The algorithm will create clusters even when no meaningful grouping exists
Explanation:
Partitioning is guaranteed for any chosen k, but substantive clusters are not.
Stability, visualization, and domain relevance should be evaluated.
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