Question
Which is a common motivation for dimensionality reduction?
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Correct Answer: C. Reduce storage, computation, noise, or visualization complexity
Explanation:
Fewer dimensions can make algorithms faster and patterns easier to inspect. A compact representation may also suppress low-value variation.
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