Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization

Research article (Journal of Global Optimization, 2017) · cited 28× · AI/ML
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Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization

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Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization
MLA “Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization.
BibTeX @misc{4ortxyz_hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization — https://4ort.xyz/entity/hybrid-clustering-based-on-content-and-connection-structure-using-joint-nonnegative-matrix-factorization (retrieved 2026-05-24)

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