Improved pseudoinverse linear discriminant analysis method for dimensionality reduction

Paliwal, K.K. and Sharma, Alokanand (2012) Improved pseudoinverse linear discriminant analysis method for dimensionality reduction. International Journal of Pattern Recognition and Artificial Intelligence, 26 (1). p. 9. ISSN 0218-0014

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Abstract

Pseudoinverse linear discriminant analysis (PLDA) is a classical method for solving small sample size problem. However, its performance is limited. In this paper, we propose an improved PLDA method which is faster and produces better classification accuracy when experimented on several datasets.

Item Type:	Journal Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Ms Shalni Sanjana
Date Deposited:	23 Jul 2012 08:38
Last Modified:	09 Jan 2017 20:38
URI:	https://repository.usp.ac.fj/id/eprint/4964

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