Singular Value Decomposition (SVD)
Decoding Dimensionality Reduction, PCA and SVD
Relationship between SVD and PCA. How to use SVD to perform PCA?
Why Octave, R, Numpy, and LAPACK yield different SVD results on the same matrix
“Normalizing” variables for SVD / PCA
Numpy seems to produce incorrect eigenvectors
Why we need to normalize data before analysis
Why standardize the matrix columns before SVD?
Understand Complex Datasets, Data Mining with Matrix Decompositions
SVD code with Python and R
dimensionality reduction -- general sense of the terms used in the lecture
Low-rank approximation of a matrix
Singular Value Decomposition of General Matrices