Question
Why can hierarchical clustering be computationally expensive on large datasets?
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Correct Answer: C. It requires many pairwise distances and repeated cluster comparisons
Explanation:
A full distance matrix grows quadratically with the number of observations.
Memory and update costs limit naive implementations.
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