Question: Before effectively applying the k - nearest neighbor classification technique, the variables need to be Option A standardized. Option B normalized. Option C randomized. Option

Before effectively applying the k-nearest neighbor classification technique, the variables need to be
Option A
standardized.
Option B
normalized.
Option C
randomized.
Option D
trimmed.

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