DocumentCode :
3662783
Title :
Improved Particle Swarm Optimization approach for classification by using LDA
Author :
S. Nema;S. S. Thakur
Author_Institution :
Dept. of Computer Science &
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, Improved Particle Swarm Optimization (IPSO) approach is used in feature selection process - Linear Discriminant Analysis (LDA). This evolutionary random search method enhanced the classification rate with less computational time. The effectiveness of the proposed IPSO-LDA method is verified by employed Indian Face Database (IFD) and compare the results with existing methods.
Keywords :
"MATLAB","Classification algorithms","Algorithm design and analysis","Face","Face recognition","Special issues and sections","Principal component analysis"
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Control (ISCO), 2015 IEEE 9th International Conference on
Type :
conf
DOI :
10.1109/ISCO.2015.7282245
Filename :
7282245
Link To Document :
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