Dimensionality Reduction: Rank-k Approximation and Eigen-decomposition - Lecture 20

Learn advanced dimensionality reduction techniques in this university lecture covering rank-k approximation methods, their connection to eigendecomposition, and the power method algorithm for finding dominant eigenvalues and eigenvectors in large matrices.