GitHub

mlpack_layers /doc /tutorials

Alternating matrix factorization decomposes a matrix V in the form V ~ WH where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n ...
GitHub

mlpack-linkinpony /doc /tutorials

Alternating matrix factorization decomposes a matrix V in the form V ~ WH where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n ...
IEEE

Putting nonnegative matrix factorization to the test: a tutorial derivation of pertinent cramer—rao bounds and performance benchmarking

Abstract: Nonnegative matrix factorization (NMF) is a useful tool in a broad range of applications, from signal separation to computer vision and machine learning. NMF is a hard (NP-hard) ...
IEEE

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation

Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
Nature

Matrix Factorization Techniques in Data Mining

Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...