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Multi-view clustering guided by unconstrained non-negative matrix factorization

Knowledge-Based Systems, 2023
Ping Deng   +5 more
semanticscholar   +1 more source

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering

Signal Processing, 2023
Yuzhu Dong   +4 more
semanticscholar   +1 more source

Rank-Adaptive Non-Negative Matrix Factorization

Cognitive Computation, 2018
Dimension reduction is a challenge task in data processing, especially in high-dimensional data processing area. Non-negative matrix factorization (NMF), as a classical dimension reduction method, has a contribution to the parts-based representation for the characteristics of non-negative constraints in the NMF algorithm.
Tianming Liang   +3 more
openaire   +2 more sources

Initialization enhancer for non-negative matrix factorization

Engineering Applications of Artificial Intelligence, 2007
Non-negative matrix factorization (NMF), proposed recently by Lee and Seung, has been applied to many areas such as dimensionality reduction, image classification image compression, and so on. Based on traditional NMF, researchers have put forward several new algorithms to improve its performance.
Jie Yang, Yitan Zhu, Zhonglong Zheng
openaire   +2 more sources

Convex Non-negative Matrix Factorization in the Wild

2009 Ninth IEEE International Conference on Data Mining, 2009
Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative input matrix V into two non-negative matrix factors V = WH such that W describes "clusters" of the datasets.
Christian Bauckhage   +2 more
openaire   +2 more sources

Soft-label guided non-negative matrix factorization for unsupervised feature selection

Expert systems with applications, 2023
Shixuan Zhou   +3 more
semanticscholar   +1 more source

An enhanced EMG-driven Musculoskeletal model based on non-negative matrix factorization

Biomedical Signal Processing and Control, 2023
Jianmin Li, Ruyi Wang, Lizhi Pan
semanticscholar   +1 more source

Multi-view data clustering via non-negative matrix factorization with manifold regularization

International Journal of Machine Learning and Cybernetics, 2021
G. Khan   +4 more
semanticscholar   +1 more source

Document clustering based on non-negative matrix factorization

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2003
W. Xu, Xin Liu, Yihong Gong
semanticscholar   +1 more source

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