Last Updated on 2024-08-11 by Clay Singular Value Decomposition (SVD) is a method for decomposing a matrix into three matrices, revealing the rank, data dimensions, and key directions of the original matrix. It is often used in dimensionality reduction, compression, and structural analysis. Let be a matrix of size . The SVD can be written … Continue reading Note Of Singular Value Decomposition (SVD)