Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization

In recent years, datasets which exist in present world are comprising of various representations of the data or in multiview environment, which frequently give the important data to each other. Multi-view clustering based on Non-negative matrix factorization (NMF) has turned to be a very hot directi...

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Vydáno v:	2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) s. 1159 - 1165
Hlavní autoři:	Khan, Ghufran Ahmad, Hu, Jie, Li, Tianrui, Diallo, Bassoma, Huang, Qianqian
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.11.2019
Témata:	Convergence Data mining Design methodology Dimensionality reduction Intelligent systems Knowledge engineering multi-view clustering non-negative matrix factorization view weighting
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