A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and k-Nearest Neighbor Graph

Semisupervised Discriminant Analysis (SDA) is a semisupervised dimensionality reduction algorithm, which can easily resolve the out-of-sample problem. Relative works usually focus on the geometric relationships of data points, which are not obvious, to enhance the performance of SDA. Different from...

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Detalles Bibliográficos
Autores principales: Zu, Baokai, Xia, Kewen, Pan, Yongke, Niu, Wenjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338073/
https://www.ncbi.nlm.nih.gov/pubmed/28316616
http://dx.doi.org/10.1155/2017/9290230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5338073/
https://www.ncbi.nlm.nih.gov/pubmed/28316616
http://dx.doi.org/10.1155/2017/9290230

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