IEEE

Fast Sparse Nonnegative Matrix Factorization with Manifold Acceleration

Abstract: In this paper, we propose a fast sparse Nonnegative Matrix Factorization algorithm incorporating manifold identification techniques. Within an alternating update framework, it adaptively ...
GitHub

NMFLibrary: Non-negative Matrix Factorization Library

NMF solvers written by MATLAB, appplication MATLAB flies using NMF solvers, and your comments and suggestions. C.-J. Lin, "On the convergence of multiplicative update algorithms for nonnegative matrix ...
IEEE

Kernelized Sparse Bayesian Matrix Factorization

Abstract: Extracting low-rank and/or sparse structures using matrix factorization techniques has been extensively studied in the machine learning community. Kernelized matrix factorization (KMF) is a ...
Frontiers

Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes

Extensive clinical and biomedical studies have shown that microbiome plays a prominent role in human health. Identifying potential microbe–disease associations (MDAs) can help reveal the pathological ...
Frontiers

Co-sparse Non-negative Matrix Factorization

Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...
GitHub

A Java library for sparse and dense matrices, linear algebra, visualization and big data

The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and linear algebra in Java. In addition to the basic operations like matrix multiplication, ...