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

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.