Topic: Pseudoinverse and Low-Rank Approximation

Low-Rank Reconstruction in Principal Component Analysis

Least-Squares Solutions From the SVD

Image Compression With Truncated SVD

Eckart-Young Optimality in the Operator Norm

Eckart-Young Optimality in the Frobenius Norm

Constructing the Truncated SVD

Computing Pseudoinverses of Small Matrices

Common Pseudoinverse and Truncation Errors

Centering Data for Principal Component Analysis

Building the Pseudoinverse From an SVD