Which technique reduces dataset dimensionality while preserving variance?
- Clustering
- PCA
- Regression
- Classification
Answer: PCA
Principal Component Analysis (PCA) transforms features into orthogonal components ordered by variance explained. Enables visualization, noise reduction, and faster model training.