Learning a Subspace and Clustering Simultaneously with Manifold Regularized Nonnegative Matrix Factorization

With the incredible growth of high-dimensional data such as microarray gene expression data and web blogs from internet, the researchers are desirable to develop new clustering techniques to address the critical problem created by irrelevant dimensions. Properties of Nonnegative Matrix Factorization...

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Egile Nagusiak:	Feiping Nie, Huimin Chen, Heng Huang, Chris H. Q. Ding, Xuelong Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	World Scientific Publishing Co Pte Ltd 2024-08-01
Saila:	Guidance, Navigation and Control
Gaiak:	Subspace learning clustering nonnegative matrix factorization manifold learning
Sarrera elektronikoa:	https://www.worldscientific.com/doi/10.1142/S2737480724500134
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!