Results 151 to 160 of about 82,948 (222)

A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering. [PDF]

Molecules, 2017
Zhu R, Liu JX, Zhang YK, Guo Y.
europepmc   +1 more source

Cancer classification and pathway discovery using non-negative matrix factorization. [PDF]

J Biomed Inform, 2019
Zeng Z, Vo AH, Mao C, Clare SE, Khan SA, Luo Y.   +5 more
europepmc   +1 more source

Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization. [PDF]

Appl Bionics Biomech, 2018
Soomro MH, Conforto S, Giunta G, Ranaldi S, De Marchis C.   +4 more
europepmc   +1 more source

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Nonsmooth nonnegative matrix factorization (nsNMF)

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
We propose a novel nonnegative matrix factorization model that aims at finding localized, part-based, representations of nonnegative multivariate data items. Unlike the classical nonnegative matrix factorization (NMF) technique, this new model, denoted "nonsmooth nonnegative matrix factorization" (nsNMF), corresponds to the optimization of an ...
Alberto, Pascual-Montano, J M, Carazo, Kieko, Kochi, Dietrich, Lehmann, Roberto D, Pascual-Marqui   +4 more
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Nonnegative Discriminant Matrix Factorization

IEEE Transactions on Circuits and Systems for Video Technology, 2017
Nonnegative matrix factorization (NMF), which aims at obtaining the nonnegative low-dimensional representation of data, has received wide attention. To obtain more effective nonnegative discriminant bases from the original NMF, in this paper, a novel method called nonnegative discriminant matrix factorization (NDMF) is proposed for image classification.
Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan   +5 more
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WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering

Neurocomputing
K. Berahmand, Mehrnoush Mohammadi, R. Sheikhpour, Yuefeng Li, Yue Xu   +4 more
semanticscholar   +3 more sources

Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks

IEEE Transactions on Network Science and Engineering, 2023
Community detection has become an important research topic in machine learning due to the proliferation of network data. However, most existing methods have been developed based on only exploiting the topology structures of the network, which can result ...
K. Berahmand, Mehrnoush Mohammadi, Farid Saberi-Movahed, Yuefeng Li, Yue Xu   +4 more
semanticscholar   +1 more source

A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector

IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
Community describes the functional mechanism of an undirected network, making community detection a fundamental tool for graph representation learning-related applications like social circle discovery.
Zhigang Liu, Yugen Yi, Xin Luo
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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