Why is feature scaling important in KNN?

KNN depends on distance, so features must be scaled to ensure fair contribution.

Distance-based algorithms are sensitive to magnitude differences. If one feature has a larger scale, it dominates distance computation, making other features irrelevant. Scaling methods like normalization or standardization fix this.