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Trace Ratio Criterion for Feature Extraction in Classification
Joint Authors
Ding, Jie
Xu, Yi
Shi, Luping
Wen, Changyun
Zhao, Guangshe
Wei, Wei
Li, Guoqi
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A generalized linear discriminant analysis based on trace ratio criterion algorithm (GLDA-TRA) is derived to extract features for classification.
With the proposed GLDA-TRA, a set of orthogonal features can be extracted in succession.
Each newly extracted feature is the optimal feature that maximizes the trace ratio criterion function in the subspace orthogonal to the space spanned by the previous extracted features.
American Psychological Association (APA)
Li, Guoqi& Wen, Changyun& Wei, Wei& Xu, Yi& Ding, Jie& Zhao, Guangshe…[et al.]. 2014. Trace Ratio Criterion for Feature Extraction in Classification. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-493620
Modern Language Association (MLA)
Li, Guoqi…[et al.]. Trace Ratio Criterion for Feature Extraction in Classification. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-493620
American Medical Association (AMA)
Li, Guoqi& Wen, Changyun& Wei, Wei& Xu, Yi& Ding, Jie& Zhao, Guangshe…[et al.]. Trace Ratio Criterion for Feature Extraction in Classification. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-493620
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493620