How does KNN behave when data distribution is non-uniform?

Updated May 16, 2026

Short answer

KNN becomes biased toward dense regions of the feature space.

Deep explanation

In non-uniform distributions, dense regions dominate neighbor selection, while sparse regions are underrepresented. This leads to biased predictions where dense clusters influence more queries regardless of true class structure.

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