Singular Value Decomposition (SVD): Matrix Factorization for Latent Semantic Analysis and CompressionSingular Value Decomposition (SVD): Matrix Factorization for Latent Semantic Analysis and Compression
Introduction Singular Value Decomposition (SVD) is one of the most influential techniques in linear algebra, widely used in data science, machine learning, and information retrieval. At its core, SVD provides