Semi-supervised dynamic community detection based on non-negative matrix factorization by Zhen-chao CHANG, Hong-chang CHEN, Rui-yang HUANG, Hong-tao YU, Yang LIU

“…Based on this, a semi-supervised dynamic community algorithm SDCD based on non-negative matrix factorization, which effectively extracted the historical stability structure unit firstly, and then use it as a regularization item supervision of nonnegative matrix decomposition, to guide the network community detection on current moment. …”
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DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization by Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu

“…A Non-negative Matrix Factorization (NMF)-based method is proposed to solve the link prediction problem in dynamic graphs. …”
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Wasserstein Non-Negative Matrix Factorization for Multi-Layered Graphs and its Application to Mobility Data by Hirotaka Kaji, Kazushi Ikeda

“…This study proposes a method that combines the Wasserstein non-negative matrix factorization (W-NMF) with line graphs to obtain low-dimensional representations of multi-layered graphs. …”
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Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach by Meng Zhang, Joel Parker, Lingling An, Yiwen Liu, Xiaoxiao Sun

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Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

Subjects: “…non-negative matrix factorization (NMF)…”
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NMF-NAD:detecting network-wide traffic anomaly based on NMF by Xiang-lin WEI, Ming CHEN, Guo-min ZHANG, Jian-jun HUANG

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Multiview clustering method for view-unaligned data by Ao LI, Cong FENG, Yutong NIU, Shibiao XU, Yingtao ZHANG, Guanglu SUN

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Co-clustering of multi-entities sparse relational data in microblogging by Miao YU, Wu YANG, Wei WANG, wei SHENGuo

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Critical factors influencing live birth rates in fresh embryo transfer for IVF: insights from cluster ensemble algorithms by Zheng Yu, Xiaoyan Zheng, Jiaqi Sun, Pengfei Zhang, Ying Zhong, Xingyu Lv, Hongwen Yuan, Fanrong Liang, Dexian Wang, Jie Yang

“…We introduce a novel Non-negative Matrix Factorization (NMF)-based Ensemble algorithm (NMFE). …”
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Research on multi-target recognition method based on WSN and blind source separation by Pengju HE, Gangyi LIU, Siyi LIU

“…Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In this algorithm,the multichannel mixed signal was used as the analysis object,the number of source signals was determined based on the eigenvalue method and then the blind source separation algorithm based on the non-negative matrix factorization was used to obtain the separation signals.The experimental results indicate that the number of targets can be determined and the accurate separation signals can be obtained by the proposed scheme.It can be applied to solve the problem of signal aliasing in multi-target detection and recognition.…”
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Named Entity Recognition Method Based on Multi-Feature Fusion by Weidong Huang, Xinhang Yu

“…Initially, the Non-negative Matrix Factorization (NMF) model is employed to perform thematic clustering on the review texts, and entity types are extracted based on the clustering results. …”
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Detecting memberships in multiplex networks via nonnegative matrix factorization and tensor decomposition by Fengqin Tang, Xiaozong Wang, Xuejing Zhao, Chunning Wang

“…To address this, we developed non-negative matrix factorization and tensor decomposition (NMFTD), a joint clustering approach, to identify cohesive layer groups and determine the mixed memberships of nodes within them. …”
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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…[Methods]A novel detection method named Deep Semi-Non-negative Matrix Factorization-based Mahalanobis Distance Anomaly Detection (DSNMFMAD) was proposed, which combines Deep Semi-Non-negative Matrix Factorization (DSNMF) with Mahalanobis distance for robust anomaly detection in complex image backgrounds. …”
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Multi-view Clustering: A Survey by Yan Yang, Hao Wang

“…Multi-view subspace clustering is further divided into subspace learning-based, and non-negative matrix factorization-based methods. This paper does not only introduce the mechanisms for each category of methods, but also gives a few examples for how these techniques are used. …”
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Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function by Matin Pashaian, Sanaz Seyedin

“…We propose a multi-objective joint model of non-negative matrix factorization (NMF) and deep neural network (DNN) with a new loss function for speech enhancement. …”
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Single-cell mitophagy patterns within the tumor microenvironment modulate intercellular communication, impacting the progression and prognosis of hepatocellular carcinoma by Zhengyan Li, Wei Chen, Shu Yao, Zuxiang Peng, Hongming Liu, Yongliang Tang, Yi Feng

“…We utilized non-negative matrix factorization (NMF) clustering to identify mitophagy patterns in HCC TME cells, including cancer-associated fibroblasts (CAFs), T cells, B cells, and tumor-associated macrophages (TAMs). …”
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Coronavirus Pandemic Analysis Through Tripartite Graph Clustering in Online Social Networks by Xueting Liao, Danyang Zheng, Xiaojun Cao

“…In this paper, we propose a Tripartite Graph Clustering for Pandemic Data Analysis (TGC-PDA) framework that builds on the proposed models and analysis: (1) tripartite graph representation, (2) non-negative matrix factorization with regularization, and (3) sentiment analysis. …”
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Assessing brain-muscle networks during motor imagery to detect covert command-following by Emilia Fló, Daniel Fraiman, Jacobo Diego Sitt

“…Brain-muscle networks were obtained using non-negative matrix factorization (NMF) of the coherence spectra for all the channel pairs. …”
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Impact of glioma metabolism-related gene ALPK1 on tumor immune heterogeneity and the regulation of the TGF-β pathway by YaoFeng Hu, Sen Qin, RuCui Deng

“…Therefore, exploring the molecular subtyping of gliomas, identifying novel prognostic biomarkers, and understanding the characteristics of their immune microenvironments are crucial for improving treatment strategies and patient outcomes.MethodsWe integrated glioma datasets from multiple sources, employing Non-negative Matrix Factorization (NMF) to cluster samples and filter for differentially expressed metabolic genes. …”
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Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation by Sandeep Kumar Rachamadugu, T. P. Pushphavathi, Surbhi Bhatia Khan, Mohammad Alojail

“…The above results of the topic-level analysis indicate that PCC-LDA consistency topics perform better than LDA and NMF(non-negative matrix factorization Technique) by at least 15.4%,12.9%(<inline-formula> <tex-math notation="LaTeX">$k = 5$ </tex-math></inline-formula>) and up to nearly 12.5% and 11.8% (<inline-formula> <tex-math notation="LaTeX">$k = 10$ </tex-math></inline-formula>) respectively, where k represents the number of topics.…”
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