What distance metrics can be used in KNN?

• PCA (Principal Component Analysis) is used for dimensionality reduction and feature extraction, aiming to maximize variance.
• LDA (Linear Discriminant Analysis) is used for dimensionality reduction while preserving class separability in classification problems