Non-Negative Matrix Factorization

Also known as NMF

Overview

Non-negative matrix factorization represents data as a product of nonnegative factors, making components additive and often easier to interpret as topics, sources, communities, or biological signals. Researchers develop multiplicative updates, alternating least-squares and gradient methods, and structured variants that incorporate sparsity, graphs, temporal variation, or suitable count-data noise models. Applications include topic modeling, spectral unmixing, audio separation, clustering, and analysis of biological and network data. A central challenge is that factors may not be uniquely identifiable, especially with noisy or highly mixed observations, so work balances stronger recovery guarantees and useful structure against computational cost and assumptions that may not fit the data.

Latest papers

CardsList

34 papers5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Joint Estimation of Common-Slope Decay Rates and Spatial Amplitudes Using Parameterized Nonnegative Matrix Factorization

    Oct 4, 2026Jeremy B. Bai, Filip Elvander, Sebastian J. SchlechtNon-Negative Matrix FactorizationExpectation-Maximization

  2. Degree-Corrected Joint Matrix Factorization for Multilayer Community Detection

    Oct 1, 2026Alexandra Dache, Manon Rustin, Arnaud Vandaele +1Non-Negative Matrix FactorizationGraph Clustering

  3. GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimization

    Sep 28, 2026Peng Xu, Nihar Koganti, Volodymyr Kindratenko +1ClusteringNon-Negative Matrix Factorization

  4. Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization

    Aug 28, 2026Matthew McCarver, Jing QinNon-Negative Matrix FactorizationNonconvex Optimization

  5. Maximum-distance nonnegative matrix factorization for unmixing highly mixed grain-size distribution data

    Aug 24, 2026Qianqian Qi, Zhongming Chen, Peter G. M. van der HeijdenNon-Negative Matrix Factorization

  6. Exploiting chemical shift variability enables recovery of overlapping metabolites from 1H nuclear magnetic resonance spectra

    Aug 6, 2026Jesper Løve Hinrich, Pia Susan Mayer, Bekzod Khakimov +2Non-Negative Matrix FactorizationMagnetic Resonance Spectroscopy

  7. Non--negative matrix factorization using the R package nnmf

    Jul 22, 2026Volkan Sevinç, Nikolas Kontemeniotis, Theodoros Perdikis +1Non-Negative Matrix FactorizationDimensionality Reduction

  8. An Efficient Newton Algorithm for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence

    Jul 15, 2026Damien Lesens, Jérémy E. Cohen, Bora UçarNon-Negative Matrix FactorizationLow-Rank Matrix Decomposition

  9. Non-negative Matrix Factorisation with Topological Regularisation

    Jun 16, 2026Matias de Jong van Lier, Shizuo Kaji, Keunsu KimNon-Negative Matrix Factorization

  10. On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

    Jun 6, 2026Rok Hribar, Gregor Papa, Janez Povh +1Non-Negative Matrix FactorizationGraph Clustering

  11. Graph Regularized Non-negative Reduced Biquaternion Matrix Factorization for Color Image Recognition

    Jun 2, 2026Hailang Wu, Yonghe Liu, Bingxuan Yu +1Non-Negative Matrix FactorizationMatrix Factorization

  12. A Nonmonotone Gradient-Based Algorithm for Symmetric Nonnegative Matrix Factorization and Graph Clustering

    Jun 1, 2026Ryan Swart, Johannes BrustNon-Negative Matrix FactorizationGraph Clustering

  13. An Exterior Method for Nonnegative Matrix Factorization

    May 19, 2026Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh +2Non-Negative Matrix FactorizationLow-Rank Matrix Decomposition

  14. Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks

    Apr 20, 2026Aoran Zhang, Tianyao Wei, Maria J. Guerrero +1Sparse RecoveryNon-Negative Matrix Factorization

  15. Hyperspectral Unmixing Hierarchies

    Apr 18, 2026Joseph L. Garrett, P. S. Vishnu, Pauliina Salmi +4Non-Negative Matrix FactorizationRemote Sensing

  16. Audio Source Separation in Reverberant Environments using ββ-divergence based Nonnegative Factorization

    Apr 14, 2026Mahmoud Fakhry, Piergiorgio Svaizer, Maurizio OmologoAudio Source SeparationNon-Negative Matrix Factorization

  17. Shift- and stretch-invariant non-negative matrix factorization with an application to brain tissue delineation in emission tomography data

    Apr 9, 2026Anders S. Olsen, Miriam L. Navarro, Claus Svarer +3Non-Negative Matrix FactorizationMedical Imaging

  18. Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data

    Mar 31, 2026Giovanni Seraghiti, Kévin Dubrulle, Arnaud Vandaele +1Non-Negative Matrix FactorizationMatrix Factorization

  19. Identification of NMF by choosing maximum-volume basis vectors

    Mar 25, 2026Qianqian Qi, Zhongming Chen, Peter G. M. van der HeijdenNon-Negative Matrix FactorizationRepresentation Identifiability

  20. MM-algorithms for traditional and convex NMF with Tweedie and Negative Binomial cost functions and empirical evaluation

    Mar 10, 2026Elisabeth Sommer James, Asger Hobolth, Marta PelizzolaNon-Negative Matrix Factorization

  21. Persistent Nonnegative Matrix Factorization via Multi-Scale Graph Regularization

    Feb 26, 2026Jichao Zhang, Ran Miao, Limin LiNon-Negative Matrix FactorizationMatrix Factorization

  22. Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization

    Feb 25, 2026Yixuan Li, Archer Y. Yang, Yue LiNon-Negative Matrix FactorizationDisentangled Representation Learning

  23. A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link

    Jan 9, 2026Eric Weine, Peter Carbonetto, Rafael A. Irizarry +1Non-Negative Matrix FactorizationGeneralized Linear Models