Search Results - the random non‐negative matrix factorization algorithm*

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms

Authors: Xie, Jianwen Douglas, Pamela K Wu, Ying Nian et al.

Source: Journal of Neuroscience Methods. 282

Subject Terms: 32 Biomedical and Clinical Sciences (for-2020), 3209 Neurosciences (for-2020), Clinical Research (rcdc), Machine Learning and Artificial Intelligence (rcdc), Neurosciences (rcdc), Biomedical Imaging (rcdc), Bioengineering (rcdc), Algorithms (mesh), Auditory Perception (mesh), Brain (mesh), Brain Mapping (mesh), Cerebrovascular Circulation (mesh), Humans (mesh), Magnetic Resonance Imaging (mesh), Motion Perception (mesh), Neural Pathways (mesh), Neuropsychological Tests (mesh), Oxygen (mesh), Rest (mesh), FMRI, Classification, ICA, NMF, K-SVD, L1 Regularized Learning, Independent component analysis, Brain (mesh), Neural Pathways (mesh), Humans (mesh), Oxygen (mesh), Magnetic Resonance Imaging (mesh), Brain Mapping (mesh), Auditory Perception (mesh), Motion Perception (mesh), Neuropsychological Tests (mesh), Cerebrovascular Circulation (mesh), Algorithms (mesh), Rest (mesh), Artifacts, Classification, FMRI, ICA, Image processing, Independent component analysis, K-SVD, L1 Regularized Learning, Machine learning, NMF, Negative BOLD signal, Non-negative matrix factorization, Pattern recognition, Random forests, Sparsity, Support vector machines, Algorithms (mesh), Auditory Perception (mesh), Brain (mesh), Brain Mapping (mesh), Cerebrovascular Circulation (mesh), Humans (mesh), Magnetic Resonance Imaging (mesh), Motion Perception (mesh), Neural Pathways (mesh), Neuropsychological Tests (mesh), Oxygen (mesh), Rest (mesh), 1109 Neurosciences (for), 1701 Psychology (for), 1702 Cognitive Sciences (for), Neurology & Neurosurgery (science-metrix), 3209 Neurosciences (for-2020)

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Access URL: https://escholarship.org/uc/item/2n032848
https://escholarship.org/content/qt2n032848/qt2n032848.pdf

Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer

Authors: Xinchen Deng Kirsty Milligan Ramie Ali-Adeeb et al.

Source: Appl Spectrosc

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Special Issue: Vibrational Spectroscopy for Understanding, Screening and Monitoring Disease State, Humans, Breast Neoplasms, Female, Breast, Spectrum Analysis, Raman, Algorithms, 3. Good health

Access URL: https://journals.sagepub.com/doi/pdf/10.1177/00037028211035398
https://pubmed.ncbi.nlm.nih.gov/34355582
https://journals.sagepub.com/doi/pdf/10.1177/00037028211035398
https://pubmed.ncbi.nlm.nih.gov/34355582/
https://journals.sagepub.com/doi/full/10.1177/00037028211035398

Identification of important risk factors for all-cause mortality of acquired long QT syndrome patients using random survival forests and non-negative matrix factorization

Authors: Lianjun Gao Xiaomeng Yin Jiandong Zhou et al.

Source: Heart Rhythm. 18:426-433

Subject Terms: Male, 0301 basic medicine, China, Middle Aged, 3. Good health, Survival Rate, Electrocardiography, Long QT Syndrome, 03 medical and health sciences, 0302 clinical medicine, Heart Rate, Risk Factors, Cause of Death, Humans, Female, Algorithms, Follow-Up Studies, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/33127541
https://www.ncbi.nlm.nih.gov/pubmed/33127541
https://pubmed.ncbi.nlm.nih.gov/33127541/
https://scholars.cityu.edu.hk/en/publications/identification-of-important-risk-factors-for-allcause-mortality-of-acquired-long-qt-syndrome-patients-using-random-survival-forests-and-nonnegative-matrix-factorization(8d0bc989-4fe3-4888-91ea-e12673141784).html
https://www.heartrhythmjournal.com/article/S1547-5271(20)31033-X/fulltext
https://www.sciencedirect.com/science/article/pii/S154752712031033X

Autoencoder-like Sparse Non-Negative Matrix Factorization with Structure Relationship Preservation.

Authors: Zhong, Ling Gao, Haiyan

Source: Entropy. Aug2025, Vol. 27 Issue 8, p875. 27p.

Subject Terms: *AUTOENCODERS, *CLUSTERING algorithms, *STATISTICAL correlation, *SCIENTIFIC computing, *MATRIX decomposition, *DATA mining

Robust Sparse Non-Negative Matrix Factorization for Identifying Signals of Interest in Bearing Fault Detection.

Authors: Shiri, Hamid Michalak, Anna

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 22, p7041, 32p

Subject Terms: SIGNAL processing, FAULT diagnosis, ROBUST statistics, MONTE Carlo method, MATRIX decomposition, RANDOM noise theory, QUANTITATIVE research, INDUSTRIAL applications

An improved joint non-negative matrix factorization for identifying surgical treatment timing of neonatal necrotizing enterocolitis

Authors: Guoqiang Qi Shoujiang Huang Dengming Lai et al.

Source: Bosn J Basic Med Sci
Biomolecules & Biomedicine, Vol 22, Iss 6 (2022)

Subject Terms: Support Vector Machine, ROC Curve, QH301-705.5, Enterocolitis, Necrotizing, multimodal clinical data, Infant, Newborn, Neonatal necrotizing enterocolitis, Humans, surgical indications, joint non-negative matrix factorization, Biology (General), Algorithms, Research Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/35575464
https://doaj.org/article/770231d213e444309a0071ff9c33a74e

Convergence analysis of a non-negative matrix factorization algorithm based on Gibbs random field modeling

Authors: Chenxue Yang Mao Ye Zijian Liu

Source: Journal of Applied Mathematics and Computing. 42:491-508

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Access URL: https://link.springer.com/article/10.1007/s12190-013-0646-4
https://link.springer.com/article/10.1007/s12190-013-0646-4/fulltext.html

Pairwisely constrained symmetric non-negative matrix factorization for link prediction in complex networks using degree-related clustering coefficient and improved closeness centrality.

Authors: Chen, Guangfu Xie, Bin Li, Xiaofei et al.

Source: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-26, 26p

Subject Terms: MATRIX decomposition, NONNEGATIVE matrices, PREDICTION algorithms, SYMMETRIC matrices, ARTIFICIAL intelligence

Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering.

Authors: Berahmand, Kamal Mohammadi, Mehrnoush Sheikhpour, Razieh et al.

Source: ACM Transactions on Knowledge Discovery from Data; Nov2025, Vol. 19 Issue 9, p1-28, 28p

Subject Terms: CLUSTERING algorithms, ENTROPY (Information theory), MATRIX decomposition, COMMUNICATION network analysis

Singular Value Decomposition-Driven Non-negative Matrix Factorization with Application to Identify the Association Patterns of Sarcoma Recurrence

Authors: Jin Deng Kaijun Li Wei Luo

Source: Interdisciplinary Sciences: Computational Life Sciences. 16:554-567

Subject Terms: Humans, Computational Biology, Reproducibility of Results, Sarcoma, Neoplasm Recurrence, Local, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/38424397

Enhanced Dynamic Surface EMG Decomposition Using the Non-Negative Matrix Factorization and Three-Dimensional Motor Unit Localization

Authors: Jinbao He Yang Liu Sheng Li et al.

Source: IEEE Transactions on Biomedical Engineering. 71:596-606

Subject Terms: Electromyography, Reproducibility of Results, Action Potentials, Computer Simulation, Signal-To-Noise Ratio, Muscle, Skeletal, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/37656646

An Efficient Algorithm for Non-Negative Matrix Factorization with Random Projections

Authors: Torre, Gabriele Graber, Michael

Index Terms: Mathematics - Numerical Analysis, Computer Science - Discrete Mathematics, text

URL: http://arxiv.org/abs/1712.02248

PLNMFG: Pseudo-label guided non-negative matrix factorization model with graph constraint for single-cell multi-omics data clustering.

Authors: Yuan, Hui Liu, Mingzhu Qiu, Yushan et al.

Source: PLoS Computational Biology; 8/18/2025, Vol. 21 Issue 8, p1-17, 17p

Subject Terms: MULTIOMICS, CLUSTERING algorithms, BIOINFORMATICS, MATRIX decomposition, CYTOLOGY

Comparative Analysis of Non-Negative Matrix Factorization in Fire Susceptibility Mapping: A Case Study of Semi-Mediterranean and Semi-Arid Regions.

Authors: Rahimi, Iraj Duarte, Lia Barkhoda, Wafa et al.

Source: Land (2012); Jul2025, Vol. 14 Issue 7, p1334, 21p

Subject Terms: WILDFIRES, ARID regions, DIMENSIONAL reduction algorithms, FIRE risk assessment, MEDITERRANEAN climate, FEATURE extraction, REMOTE-sensing images, MATRIX decomposition

Geographic Terms: IRAN, IRAQ

SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm.

Authors: Nokhodchian, Mohsen Moattar, Mohammad Hossein Jalali, Mehrdad

Source: Machine Learning & Knowledge Extraction; Mar2025, Vol. 7 Issue 1, p25, 18p

Subject Terms: MATRIX decomposition, CLUSTER analysis (Statistics), DIMENSIONAL reduction algorithms, METADATA, MANIFOLDS (Mathematics), MATHEMATICAL optimization

Graph regularized autoencoding-inspired non-negative matrix factorization for link prediction in complex networks using clustering information and biased random walk.

Authors: Li, Tongfeng zhang, Ruisheng Yao, Yabing et al.

Source: Journal of Supercomputing; Jul2024, Vol. 80 Issue 10, p14433-14469, 37p

Subject Terms: MATRIX decomposition, NONNEGATIVE matrices, RANDOM walks, FACTORIZATION, FORECASTING, MATHEMATICAL regularization

DEEP NON-NEGATIVE MATRIX FACTORIZATION MODEL FOR CLUSTERING-BASED IMAGE DENOISING.

Authors: Malik, Shaily Jatana, Nishtha Jatain, Divya et al.

Source: Proceedings on Engineering Sciences; 2024, Vol. 6 Issue 4, p1889-1896, 7p

Subject Terms: IMAGE denoising, PATTERN recognition systems, COMPUTER vision, MATRIX decomposition, FACTORIZATION, NONNEGATIVE matrices, ALGORITHMS, AUTOENCODERS, NONLINEAR analysis

Unsupervised random forest for affinity estimation

Authors: Yunai Yi Diya Sun Peixin Li et al.

Source: Comput Vis Media (Beijing)
Computational Visual Media, Vol 8, Iss 2, Pp 257-272 (2021)

Subject Terms: Artificial intelligence, Shape Matching, Metric (unit), Economics, Structural engineering, Node (physics), Compact space, 02 engineering and technology, unsupervised clustering forest, Pattern recognition (psychology), Non-negative Matrix Factorization, Cluster analysis, Engineering, Image Feature Retrieval and Recognition Techniques, Shape Matching and Object Recognition, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Feature Selection, Data mining, affinity estimation, Spectral Clustering, Pure mathematics, QA75.5-76.95, Computer science, Tree traversal, Algorithm, Operations management, forest-based metric, Rank (graph theory), Combinatorics, Electronic computers. Computer science, Computer Science, Physical Sciences, pseudo-leaf-splitting (PLS), Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Feature Matching, Mathematics, Research Article, Random forest

Access URL: https://link.springer.com/content/pdf/10.1007/s41095-021-0241-9.pdf
https://pubmed.ncbi.nlm.nih.gov/34900375
https://doaj.org/article/f321c07765b949188dae5cf4aab2e8d9

Graph regularized symmetric non-negative matrix factorization with degree-related spectral clustering and topological structure for link prediction in complex network.

Authors: Chen, Guangfu Wang, Haibo Li, Xiaofei et al.

Source: International Journal of Machine Learning & Cybernetics; Nov2025, Vol. 16 Issue 11, p9271-9293, 23p

Matrix Factorization-Based Clustering for Sparse Data in Recommender Systems: A Comparative Study.

Authors: Bojorque, Rodolfo Hurtado, Remigio

Source: Computation; Sep2025, Vol. 13 Issue 9, p213, 14p

Subject Terms: CLUSTERING algorithms, RECOMMENDER systems, METADATA, MATRIX decomposition, CONSUMER preferences