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

Civil Engineering

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