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 | Schools: | School of Electrical and Electronic Engineering | 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 725204.pdf | 2.28 MB | Adobe PDF |  View/Open |
SCOPUSTM
Citations
50
5
Updated on Dec 1, 2023
Web of ScienceTM
Citations
50
3
Updated on Oct 30, 2023
Page view(s) 20
710
Updated on Dec 2, 2023
Download(s) 20
232
Updated on Dec 2, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.