Results 21 to 30 of about 546 (144)
IEEE Access, 2020 Community detection is a critical issue in the field of complex networks. Recently, the nonnegative matrix factorization (NMF) method has successfully uncovered the community structure in the complex networks.
Hong Lu +3 more
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Adaptive computation of the Symmetric Nonnegative Matrix Factorization (SymNMF)
SeMA Journal, 2020 Nonnegative 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 +3 more
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Distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization
SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, 2020 We develop the first distributed-memory parallel implementation of Symmetric Nonnegative Matrix Factorization (SymNMF), a key data analytics kernel for clustering and dimensionality reduction. Our implementation includes two different algorithms for SymNMF, which give comparable results in terms of time and accuracy.
Srinivas Eswar +5 more
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Inexact Block Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization [PDF]
IEEE Transactions on Signal Processing, 2017 Symmetric nonnegative matrix factorization (SNMF) is equivalent to computing a symmetric nonnegative low rank approximation of a data similarity matrix. It inherits the good data interpretability of the well-known nonnegative matrix factorization technique and have better ability of clustering nonlinearly separable data.
Qingjiang Shi +4 more
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Frontiers in Genetics, 2018 Increasing evidence has indicated that microRNAs (miRNAs) are associated with numerous human diseases. Studying the associations between miRNAs and diseases contributes to the exploration of effective diagnostic and treatment approaches for diseases ...
Yan Zhao, Xing Chen, Jun Yin
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Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization
CoRR, 2016 Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering method. Recent work has demonstrated that an elementary instance of SNMF provides superior clustering quality compared to many classic clustering algorithms on a variety of ...
Reza Borhani +2 more
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Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
CoRR, 2018 Accepted in NIPS ...
Zhihui Zhu +3 more
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Lyrics-to-Audio Alignment by Unsupervised Discovery of Repetitive Patterns in Vowel Acoustics
IEEE Access, 2017 Most of the previous approaches to lyrics-to-audio alignment used a pre-developed automatic speech recognition (ASR) system that innately suffered from several difficulties to adapt the speech model to individual singers.
Sungkyun Chang, Kyogu Lee
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On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
, 2016 The problem of finding overlapping communities in networks has gained much attention recently. Optimization-based approaches use non-negative matrix factorization (NMF) or variants, but the global optimum cannot be provably attained in general. Model-based approaches, such as the popular mixed-membership stochastic blockmodel or MMSB (Airoldi et al ...
Xueyu Mao 0001 +2 more
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Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization
CoRR, 2015 25 pages, 5 figures, 7 tables. Main changes: comparison with another symNMF algorithm (namely, BetaSNMF), and correction of an error in the convergence ...
Arnaud Vandaele +4 more
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