Low-rank graph optimization for multi-view dimensionality reduction

Graph-based dimensionality reduction methods have attracted substantial attention due to their successful applications in many tasks, including classification and clustering. However, most classical graph-based dimensionality reduction approaches are only applied to data from one view. Hence, combin...

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Detalles Bibliográficos
Autores principales: Qian, Youcheng, Yin, Xueyan, Kong, Jun, Wang, Jianzhong, Gao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919611/
https://www.ncbi.nlm.nih.gov/pubmed/31851696
http://dx.doi.org/10.1371/journal.pone.0225987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919611/
https://www.ncbi.nlm.nih.gov/pubmed/31851696
http://dx.doi.org/10.1371/journal.pone.0225987

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