SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering
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DOI: 10.1007/s10898-014-0247-2
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- Saeedmanesh, Mohammadreza & Geroliminis, Nikolas, 2016. "Clustering of heterogeneous networks with directional flows based on “Snake” similarities," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 250-269.
- Radu-Alexandru Dragomir & Alexandre d’Aspremont & Jérôme Bolte, 2021. "Quartic First-Order Methods for Low-Rank Minimization," Journal of Optimization Theory and Applications, Springer, vol. 189(2), pages 341-363, May.
- Rundong Du & Barry Drake & Haesun Park, 2019. "Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization," Journal of Global Optimization, Springer, vol. 74(4), pages 861-877, August.
- Arnaud Vandaele & François Glineur & Nicolas Gillis, 2018. "Algorithms for positive semidefinite factorization," Computational Optimization and Applications, Springer, vol. 71(1), pages 193-219, September.
- Rundong Du & Da Kuang & Barry Drake & Haesun Park, 2017. "DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling," Journal of Global Optimization, Springer, vol. 68(4), pages 777-798, August.
- He, Chaobo & Zhang, Qiong & Tang, Yong & Liu, Shuangyin & Zheng, Jianhua, 2019. "Community detection method based on robust semi-supervised nonnegative matrix factorization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 279-291.
- Srinivas Eswar & Ramakrishnan Kannan & Richard Vuduc & Haesun Park, 2021. "ORCA: Outlier detection and Robust Clustering for Attributed graphs," Journal of Global Optimization, Springer, vol. 81(4), pages 967-989, December.
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Keywords
Symmetric nonnegative matrix factorization; Low-rank approximation; Graph clustering; Spectral clustering;All these keywords.
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