Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79907
Title: Trace ratio criterion for feature extraction in classification
Authors: Li, Guoqi
Wen, Changyun
Wei, Wei
Xu, Yi
Ding, Jie
Zhao, Guangshe
Shi, Luping
Keywords: DRNTU::Engineering::Mathematics and analysis
Issue Date: 2014
Source: Li, G., Wen, C., Wei, W., Xu, Y., Ding, J., Zhao, G., et al. (2014). Trace Ratio Criterion for Feature Extraction in Classification. Mathematical Problems in Engineering, 2014, 725204-.
Series/Report no.: Mathematical problems in engineering
Abstract: 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.
URI: https://hdl.handle.net/10356/79907
http://hdl.handle.net/10220/20016
ISSN: 1024-123X
DOI: 10.1155/2014/725204
Rights: © 2014 Guoqi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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