Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization
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DOI: 10.1007/s10898-017-0578-x
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References listed on IDEAS
- Jingu Kim & Yunlong He & Haesun Park, 2014. "Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework," Journal of Global Optimization, Springer, vol. 58(2), pages 285-319, February.
- Da Kuang & Sangwoon Yun & Haesun Park, 2015. "SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering," Journal of Global Optimization, Springer, vol. 62(3), pages 545-574, July.
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- Anna Badalyan & Nicolò Ruggeri & Caterina De Bacco, 2024. "Structure and inference in hypergraphs with node attributes," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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Keywords
Joint nonnegative matrix factorization; Symmetric NMF; Constrained low rank approximation; Content clustering; Graph clustering; Hybrid content and connection structure analysis;All these keywords.
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