Results 141 to 150 of about 21,847 (188)

Symmetric Nonnegative Matrix Factorization for Graph Clustering

Proceedings of the 2012 SIAM International Conference on Data Mining, 2012
Da Kuang, Haesun Park, C. Ding
semanticscholar   +2 more sources

Symmetric Nonnegative Matrix Factorization for Vertex Centrality in Complex Networks

Journal of Shanghai Jiaotong University (Science), 2022
Pengli Lu, Wei Chen, Yuhong Guo, Yahong Chen   +3 more
semanticscholar   +2 more sources

One-hot constrained symmetric nonnegative matrix factorization for image clustering

Pattern Recognition
Jie Li, Chaoqian Li
semanticscholar   +2 more sources

Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization

IEEE transactions on circuits and systems for video technology (Print), 2023
Nonnegative matrix factorization (NMF) based multiview technique has been commonly used in multiview data clustering tasks. However, previous NMF based multiview clustering approaches fail to take advantage of a small amount of supervisory information to
Siyuan Peng, Jingxing Yin, Zhijing Yang, Badong Chen, Zhiping Lin   +4 more
semanticscholar   +1 more source

Graph regularized weighted symmetric nonnegative matrix factorization for data clustering

Iranian Journal of Science
Hazhir Sohrabi, Shahrokh Esmaeili, Parham Moradi   +2 more
semanticscholar   +2 more sources

Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization

IEEE Transactions on Network Science and Engineering, 2023
Community detection plays an important role in network analysis and has attracted considerable interest from researchers. In the past few decades, various community detection algorithms have been developed for single networks. However, in the real world,
Laishui Lv, Peng Hu, Dalal Bardou, Zijun Zheng, Ting Zhang   +4 more
semanticscholar   +1 more source

Symmetric Nonnegative Matrix Factorization With Beta-Divergences

IEEE Signal Processing Letters, 2012
Nonnegative matrix factorization/approximation (NMF) is a recently developed technology for dimensionality reduction and parts based data representation. The symmetric NMF (SNMF) decomposition is a special case of NMF, in which both factors are identical. This paper discusses SNMF decomposition with beta divergences.
Min Shi, Qingming Yi, Jun Lv
openaire   +1 more source

Semi-Supervised Adaptive Symmetric Nonnegative Matrix Factorization for Multi-View Clustering

IEEE Transactions on Network Science and Engineering
Multi-view clustering (MVC) has gained attention for its ability to efficiently handle complex high-dimensional data. Many existing MVC methods rely on a technique known as Nonnegative Matrix Factorization (NMF). Among these, Symmetric Nonnegative Matrix
Mehrnoush Mohammadi, Kamal Berahmand, Shadi Azizi, Razieh Sheikhpour, Hassan Khosravi   +4 more
semanticscholar   +1 more source

Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
Many datasets that exists in the real world are often comprised of different representations or views which provide complementary information to each other.
Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang   +3 more
semanticscholar   +1 more source

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

IEEE Transactions on Neural Networks, 2011
Nonnegative matrix factorization (NMF) is an unsupervised learning method useful in various applications including image processing and semantic analysis of documents. This paper focuses on symmetric NMF (SNMF), which is a special case of NMF decomposition.
Zhaoshui, He, Shengli, Xie, Rafal, Zdunek, Guoxu, Zhou, Andrzej, Cichocki   +4 more
openaire   +2 more sources