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Learning the parts of objects by non-negative matrix factorization

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  1. Xiaoxi Ling & Yu Liu & Zhen Huang & Parantu K. Shah & Cheng Li, 2016. "A graphical article-level metric for intuitive comparison of large-scale literatures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 41-50, January.
  2. Yan, Chao & Chang, Zhenhai, 2020. "Modularized convex nonnegative matrix factorization for community detection in signed and unsigned networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
  3. José M. Maisog & Andrew T. DeMarco & Karthik Devarajan & Stanley Young & Paul Fogel & George Luta, 2021. "Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization," Mathematics, MDPI, vol. 9(22), pages 1-13, November.
  4. Blum, Avinoam & Raviv, Alon, 2023. "The effects of the financial crisis and Basel III on banks’ risk disclosure: A textual analysis," Finance Research Letters, Elsevier, vol. 53(C).
  5. Jian-You Xu & Shuo Zhang & Chin-Chia Wu & Win-Chin Lin & Qing-Li Yuan, 2022. "Application of an Adaptive Adjacency Matrix-Based Graph Convolutional Neural Network in Taxi Demand Forecasting," Mathematics, MDPI, vol. 10(19), pages 1-17, October.
  6. Del Corso, Gianna M. & Romani, Francesco, 2019. "Adaptive nonnegative matrix factorization and measure comparisons for recommender systems," Applied Mathematics and Computation, Elsevier, vol. 354(C), pages 164-179.
  7. Zura Kakushadze & Willie Yu, 2017. "Mutation Clusters from Cancer Exome," Papers 1707.08504, arXiv.org.
  8. P Fogel & C Geissler & P Cotte & G Luta, 2022. "Applying separative non-negative matrix factorization to extra-financial data," Working Papers hal-03689774, HAL.
  9. Xiao-Bai Li & Jialun Qin, 2017. "Anonymizing and Sharing Medical Text Records," Information Systems Research, INFORMS, vol. 28(2), pages 332-352, June.
  10. Shunsuke Okamoto, 2015. "Analyzing instability of industrial clustering techniques," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(3), pages 389-406, July.
  11. Yuching Lu & Koki Tozuka & Goutam Chakraborty & Masafumi Matsuhara, 2021. "A Novel Item Cluster-Based Collaborative Filtering Recommendation System," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 327-346, November.
  12. Ma, Xiaoke & Li, Dongyuan & Tan, Shiyin & Huang, Zhihao, 2019. "Detecting evolving communities in dynamic networks using graph regularized evolutionary nonnegative matrix factorization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 530(C), pages 1-1.
  13. Lu, Hong & Sang, Xiaoshuang & Zhao, Qinghua & Lu, Jianfeng, 2020. "Community detection algorithm based on nonnegative matrix factorization and pairwise constraints," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  14. Da Kuang & Sangwoon Yun & Haesun Park, 2015. "SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering," Journal of Global Optimization, Springer, vol. 62(3), pages 545-574, July.
  15. Yilin Yu & Juntao Liu, 2023. "SCM Enables Improved Single-Cell Clustering by Scoring Consensus Matrices," Mathematics, MDPI, vol. 11(17), pages 1-15, September.
  16. Dagmar Sternad & Se-Woong Park & Hermann Müller & Neville Hogan, 2010. "Coordinate Dependence of Variability Analysis," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-16, April.
  17. van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
  18. Young Bin Kim & Jurim Lee & Nuri Park & Jaegul Choo & Jong-Hyun Kim & Chang Hun Kim, 2017. "When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
  19. Elisa Baraibar-Diez & Manuel Luna & María D. Odriozola & Ignacio Llorente, 2020. "Mapping Social Impact: A Bibliometric Analysis," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
  20. Yunxia Xu & Linzhang Lu & Qilong Liu & Zhen Chen, 2023. "Hypergraph-Regularized L p Smooth Nonnegative Matrix Factorization for Data Representation," Mathematics, MDPI, vol. 11(13), pages 1-27, June.
  21. Yuge Wang & Hongyu Zhao, 2022. "Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders," PLOS Computational Biology, Public Library of Science, vol. 18(4), pages 1-31, April.
  22. Emelia Opoku Aboagye & Rajesh Kumar, 2019. "Simple and Efficient Computational Intelligence Strategies for Effective Collaborative Decisions," Future Internet, MDPI, vol. 11(1), pages 1-16, January.
  23. Paula Vasquez-Henriquez & Eduardo Graells-Garrido & Diego Caro, 2020. "Tweets on the Go: Gender Differences in Transport Perception and Its Discussion on Social Media," Sustainability, MDPI, vol. 12(13), pages 1-21, July.
  24. Baichuan Yuan & Frederic P. Schoenberg & Andrea L. Bertozzi, 2021. "Fast estimation of multivariate spatiotemporal Hawkes processes and network reconstruction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(6), pages 1127-1152, December.
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  27. Bruno Spilak & Wolfgang Karl Hardle, 2022. "Risk budget portfolios with convex Non-negative Matrix Factorization," Papers 2204.02757, arXiv.org, revised Jun 2023.
  28. Ziqi Li & Hongcheng Song & Hefeng Yin & Yonghong Zhang & Guangyong Zhang, 2023. "Locality-Constraint Discriminative Nonnegative Representation for Pattern Classification," Mathematics, MDPI, vol. 12(1), pages 1-16, December.
  29. Eustace, Justine & Wang, Xingyuan & Cui, Yaozu, 2015. "Overlapping community detection using neighborhood ratio matrix," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 510-521.
  30. Triss Ashton & Nicholas Evangelopoulos & Victor Prybutok, 2014. "Extending monitoring methods to textual data: a research agenda," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2277-2294, July.
  31. Chuangchuang Sun, 2023. "A Customized ADMM Approach for Large-Scale Nonconvex Semidefinite Programming," Mathematics, MDPI, vol. 11(21), pages 1-27, October.
  32. Giovanni Battista Gardino & Rosa Meo & Giuseppe Craparotta, 0. "Multi-view Latent Learning Applied to Fashion Industry," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
  33. Naiyang Guan & Lei Wei & Zhigang Luo & Dacheng Tao, 2013. "Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-10, October.
  34. Zhang, Zhong-Yuan & Gai, Yujie & Wang, Yu-Fei & Cheng, Hui-Min & Liu, Xin, 2018. "On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 687-697.
  35. Qingxin Meng & Keli Xiao & Dazhong Shen & Hengshu Zhu & Hui Xiong, 2022. "Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process–Based Latent Factor Model," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2443-2463, September.
  36. Hanbaek Lyu & Yacoub H. Kureh & Joshua Vendrow & Mason A. Porter, 2024. "Learning low-rank latent mesoscale structures in networks," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  37. Ma, Xiaoke & Sun, Penggang & Wang, Yu, 2018. "Graph regularized nonnegative matrix factorization for temporal link prediction in dynamic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 121-136.
  38. Yoshi Fujiwara & Rubaiyat Islam, 2021. "Bitcoin's Crypto Flow Network," Papers 2106.11446, arXiv.org, revised Jul 2021.
  39. 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.
  40. Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019. "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 197-218.
  41. Jihye Yun & Jonghwa Lee, 2022. "Analysis of the Relationship between Corporate CSR Investment and Business Performance Using ESG Index—The Use-Case of Korean Companies," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
  42. Alessandro Spelta, 2016. "A unfi ed view of systemic risk: detecting SIFIs and forecasting the fi nancial cycle via EWSs," DISCE - Working Papers del Dipartimento di Economia e Finanza def036, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  43. Xindi Ma & Jie Gao & Xiaoyu Liu & Taiping Zhang & Yuanyan Tang, 2021. "Probabilistic Non-Negative Matrix Factorization with Binary Components," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
  44. 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.
  45. Jun Lu & Shao Yi, 2022. "Autoencoding Conditional GAN for Portfolio Allocation Diversification," Applied Economics and Finance, Redfame publishing, vol. 9(3), pages 55-68, August.
  46. Paul Hofmarcher & Sourav Adhikari & Bettina Grun, 2022. "Gaining Insights on U.S. Senate Speeches Using a Time Varying Text Based Ideal Point Model," Papers 2206.10877, arXiv.org.
  47. Markovsky, Ivan & Niranjan, Mahesan, 2010. "Approximate low-rank factorization with structured factors," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3411-3420, December.
  48. 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).
  49. 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.
  50. Xiangguang Dai & Chuandong Li & Biqun Xiang, 2018. "Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network," Complexity, Hindawi, vol. 2018, pages 1-12, March.
  51. Romain Gauchon & Stéphane Loisel & Jean-Louis Rullière, 2020. "Health-policyholder clustering using health consumption," Post-Print hal-02156058, HAL.
  52. Saeedmanesh, Mohammadreza & Geroliminis, Nikolas, 2016. "Clustering of heterogeneous networks with directional flows based on “Snake” similarities," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 250-269.
  53. Lijun Xu & Bo Yu & Yin Zhang, 2017. "An alternating direction and projection algorithm for structure-enforced matrix factorization," Computational Optimization and Applications, Springer, vol. 68(2), pages 333-362, November.
  54. Paul Fogel & Yann Gaston-Mathé & Douglas Hawkins & Fajwel Fogel & George Luta & S. Stanley Young, 2016. "Applications of a Novel Clustering Approach Using Non-Negative Matrix Factorization to Environmental Research in Public Health," IJERPH, MDPI, vol. 13(5), pages 1-14, May.
  55. Le Thi Khanh Hien & Duy Nhat Phan & Nicolas Gillis, 2022. "Inertial alternating direction method of multipliers for non-convex non-smooth optimization," Computational Optimization and Applications, Springer, vol. 83(1), pages 247-285, September.
  56. Yoshi Fujiwara & Hiroyasu Inoue & Takayuki Yamaguchi & Hideaki Aoyama & Takuma Tanaka, 2020. "Money flow network among firms' accounts in a regional bank of Japan," Papers 2007.14630, arXiv.org, revised Jul 2020.
  57. Md Tauhidul Islam & Lei Xing, 2023. "Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  58. Zhou, Han & Yin, Hongpeng & Chai, Yi, 2023. "Multi-grained mode partition and robust fault diagnosis for multimode industrial processes," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
  59. D. Thorleuchter & D. Van Den Poel, 2013. "Weak Signal Identification with Semantic Web Mining," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/860, Ghent University, Faculty of Economics and Business Administration.
  60. Omar Rifki & Hirotaka Ono & Shigemi Kagawa, 2017. "The robustest clusters in the input–output networks: global $$\hbox {CO}_2$$ CO 2 emission clusters," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-29, December.
  61. Zhang, Ting & Zhang, Kun & Li, Xun & Lv, Laishui & Sun, Qi, 2021. "Semi-supervised link prediction based on non-negative matrix factorization for temporal networks," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
  62. Leo Taslaman & Björn Nilsson, 2012. "A Framework for Regularized Non-Negative Matrix Factorization, with Application to the Analysis of Gene Expression Data," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
  63. Ancil Crayton, 2018. "Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization," Papers 1809.08718, arXiv.org.
  64. Norihiro Maruyama & Daichi Saito & Yasuhiro Hashimoto & Takashi Ikegami, 2019. "Dynamic organization of flocking behaviors in a large-scale boids model," Journal of Computational Social Science, Springer, vol. 2(1), pages 77-84, January.
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