Dimensionality Reduction: Principal Component Analysis and Multidimensional Scaling - Lecture 21

Learn about key dimensionality reduction techniques in this university lecture focusing on Principal Component Analysis (PCA) and Multidimensional Scaling (MDS), exploring how these methods help simplify complex high-dimensional data while preserving essential patterns and relationships between variables.