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Pattern Analysis and Applications, 2022
Ulises Rodríguez-Domínguez +1 more
semanticscholar +1 more source
Ulises Rodríguez-Domínguez +1 more
semanticscholar +1 more source
Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF)
2018Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc. In this paper the case of a symmetric matrix is considered and the symmetric nonnegative matrix factorization (SymNMF) is ...
P. Favati (1) +3 more
openaire +1 more source
2018
Dynamic network is drawing more and more attention due to its potential in capturing time-dependent phenomena such as online public opinion and biological system. Microbial interaction networks that model the microbial system are often dynamic, static analysis methods are difficult to obtain reliable knowledge on evolving communities.
Yuanyuan Ma +5 more
openaire +1 more source
Dynamic network is drawing more and more attention due to its potential in capturing time-dependent phenomena such as online public opinion and biological system. Microbial interaction networks that model the microbial system are often dynamic, static analysis methods are difficult to obtain reliable knowledge on evolving communities.
Yuanyuan Ma +5 more
openaire +1 more source
The biofilm matrix: multitasking in a shared space
Nature Reviews Microbiology, 2022Hans-Curt Flemming +2 more
exaly
Analysis of deep non-smooth symmetric nonnegative matrix factorization on hierarchical clustering
Applied intelligence (Boston)Shunli Li +3 more
semanticscholar +1 more source
Journal of Computational and Applied Mathematics
Hong Zhu, Chenchen Niu, Yongjin Liang
semanticscholar +1 more source
Hong Zhu, Chenchen Niu, Yongjin Liang
semanticscholar +1 more source

