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Algorithms and applications for approximate nonnegative matrix factorization

Citations

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Cited by:

  1. GILLIS, Nicolas & GLINEUR, François, 2008. "Nonnegative factorization and the maximum edge biclique problem," LIDAM Discussion Papers CORE 2008064, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Hiroyasu Abe & Hiroshi Yadohisa, 2019. "Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 825-853, December.
  3. Gregory A. Harris & Daniel Abernathy & Lin Lu & Anna Hyre & Alexander Vinel, 2022. "Bringing Clarity to Issues with Adoption of Digital Manufacturing Capabilities: an Analysis of Multiple Independent Studies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2868-2889, December.
  4. GILLIS, Nicolas & GLINEUR, François, 2011. "Accelerated multiplicative updates and hierarchical als algorithms for nonnegative matrix factorization," LIDAM Discussion Papers CORE 2011030, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  5. GILLIS, Nicolas & GLINEUR, François, 2010. "On the geometric interpretation of the nonnegative rank," LIDAM Discussion Papers CORE 2010051, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Hu, Li-Ying & Guo, Gong-De & Ma, Chang-Feng, 2015. "Image processing using Newton-based algorithm of nonnegative matrix factorization," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 956-964.
  7. Norikazu Takahashi & Ryota Hibi, 2014. "Global convergence of modified multiplicative updates for nonnegative matrix factorization," Computational Optimization and Applications, Springer, vol. 57(2), pages 417-440, March.
  8. N. Venkata Sailaja & L. Padma Sree & N. Mangathayaru, 2018. "New Rough Set-Aided Mechanism for Text Categorisation," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-19, June.
  9. Mihoko Saito-Adachi & Natsuko Hama & Yasushi Totoki & Hiromi Nakamura & Yasuhito Arai & Fumie Hosoda & Hirofumi Rokutan & Shinichi Yachida & Mamoru Kato & Akihiko Fukagawa & Tatsuhiro Shibata, 2023. "Oncogenic structural aberration landscape in gastric cancer genomes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  10. GILLIS, Nicolas & GLINEUR, François, 2010. "A multilevel approach for nonnegative matrix factorization," LIDAM Discussion Papers CORE 2010047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  11. Thiel, Michel & Sauwen, Nicolas & Khamiakova, Tastian & Maes, Tor & Govaerts, Bernadette, 2021. "Comparison of chemometrics strategies for the spectroscopic monitoring of active pharmaceutical ingredients in chemical reactions," LIDAM Discussion Papers ISBA 2021009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  12. Abubakar, Auwal Bala & Kumam, Poom & Ibrahim, Abdulkarim Hassan & Chaipunya, Parin & Rano, Sadiya Ali, 2022. "New hybrid three-term spectral-conjugate gradient method for finding solutions of nonlinear monotone operator equations with applications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 201(C), pages 670-683.
  13. Lei Zhu & Fernando Soldevila & Claudio Moretti & Alexandra d’Arco & Antoine Boniface & Xiaopeng Shao & Hilton B. Aguiar & Sylvain Gigan, 2022. "Large field-of-view non-invasive imaging through scattering layers using fluctuating random illumination," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
  14. Shanika L Wickramasuriya & Berwin A Turlach & Rob J Hyndman, 2019. "Optimal Non-negative Forecast Reconciliation," Monash Econometrics and Business Statistics Working Papers 15/19, Monash University, Department of Econometrics and Business Statistics.
  15. Zhang, Lingsong & Lu, Shu & Marron, J.S., 2015. "Nested nonnegative cone analysis," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 100-110.
  16. Yin Liu & Sam Davanloo Tajbakhsh, 2023. "Stochastic Composition Optimization of Functions Without Lipschitz Continuous Gradient," Journal of Optimization Theory and Applications, Springer, vol. 198(1), pages 239-289, July.
  17. Bastian Schaefermeier & Gerd Stumme & Tom Hanika, 2021. "Topic space trajectories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5759-5795, July.
  18. Soodabeh Asadi & Janez Povh, 2021. "A Block Coordinate Descent-Based Projected Gradient Algorithm for Orthogonal Non-Negative Matrix Factorization," Mathematics, MDPI, vol. 9(5), pages 1-22, March.
  19. Hua Zhou & Kenneth Lange, 2015. "Path following in the exact penalty method of convex programming," Computational Optimization and Applications, Springer, vol. 61(3), pages 609-634, July.
  20. Guowei Yang & Lin Zhang & Minghua Wan, 2022. "Exponential Graph Regularized Non-Negative Low-Rank Factorization for Robust Latent Representation," Mathematics, MDPI, vol. 10(22), pages 1-20, November.
  21. Juan Pineiro-Chousa & Marcos Vizcaíno-González & Samuel Ribeiro-Navarrete, 2019. "Using voting decisions to identify shocks in the financial services industry," Service Business, Springer;Pan-Pacific Business Association, vol. 13(2), pages 419-431, June.
  22. Yong Gao & Jiajun Liu & Yan Xu & Lan Mu & Yu Liu, 2019. "A Spatiotemporal Constraint Non-Negative Matrix Factorization Model to Discover Intra-Urban Mobility Patterns from Taxi Trips," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
  23. Jingu Kim & Yunlong He & Haesun Park, 2014. "Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework," Journal of Global Optimization, Springer, vol. 58(2), pages 285-319, February.
  24. Yuyang Wei & Andrew G. Marshall & Francis P. McGlone & Adarsh Makdani & Yiming Zhu & Lingyun Yan & Lei Ren & Guowu Wei, 2024. "Human tactile sensing and sensorimotor mechanism: from afferent tactile signals to efferent motor control," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  25. Yoshi Fujiwara & Rubaiyat Islam, 2021. "Bitcoin's Crypto Flow Network," Papers 2106.11446, arXiv.org, revised Jul 2021.
  26. Andrej Čopar & Blaž Zupan & Marinka Zitnik, 2019. "Fast optimization of non-negative matrix tri-factorization," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-15, June.
  27. Hiroyasu Abe & Hiroshi Yadohisa, 2017. "A non-negative matrix factorization model based on the zero-inflated Tweedie distribution," Computational Statistics, Springer, vol. 32(2), pages 475-499, June.
  28. Jianfei Cao & Han Yang & Jianshu Lv & Quanyuan Wu & Baolei Zhang, 2023. "Estimating Soil Salinity with Different Levels of Vegetation Cover by Using Hyperspectral and Non-Negative Matrix Factorization Algorithm," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
  29. M. Moghadam & K. Aminian & M. Asghari & M. Parnianpour, 2013. "How well do the muscular synergies extracted via non-negative matrix factorisation explain the variation of torque at shoulder joint?," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(3), pages 291-301.
  30. Immanuel Bomze & Werner Schachinger & Gabriele Uchida, 2012. "Think co(mpletely)positive ! Matrix properties, examples and a clustered bibliography on copositive optimization," Journal of Global Optimization, Springer, vol. 52(3), pages 423-445, March.
  31. FUJIWARA Yoshi & INOUE Hiroyasu & YAMAGUCHI Takayuki & AOYAMA Hideaki & TANAKA Takuma & KIKUCHI Kentaro, 2021. "Money Flow Network Among Firms' Accounts in a Regional Bank of Japan," Discussion papers 21005, Research Institute of Economy, Trade and Industry (RIETI).
  32. Jason B Castro & Arvind Ramanathan & Chakra S Chennubhotla, 2013. "Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-16, September.
  33. Duy Khuong Nguyen & Tu Bao Ho, 2017. "Accelerated parallel and distributed algorithm using limited internal memory for nonnegative matrix factorization," Journal of Global Optimization, Springer, vol. 68(2), pages 307-328, June.
  34. Takehiro Sano & Tsuyoshi Migita & Norikazu Takahashi, 2022. "A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill’s global convergence," Journal of Global Optimization, Springer, vol. 84(3), pages 755-781, November.
  35. Dong-Mei Zhu & Wai-Ki Ching & Robert J. Elliott & Tak-Kuen Siu & Lianmin Zhang, 2017. "A Higher-order interactive hidden Markov model and its applications," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1055-1069, October.
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