Improved direct LDA and its application to DNA microarray gene expression data

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Title Improved direct LDA and its application to DNA microarray gene expression data
Author Paliwal, Kuldip Kumar; Sharma, Alok
Journal Name Pattern Recognition Letters
Year Published 2010
Place of publication Netherlands
Publisher Elsevier
Abstract The direct linear discriminant analysis (DLDA) technique is a well known technique for dimensionality reduction. It can overcome the small sample size problem. However, its performance is limited. In this paper we address its drawbacks and propose an improvement of the DLDA technique. The experiment is conducted on several DNA microarray gene expression datasets and the performance (in terms of classification accuracy) of the proposed improvement of the technique is reported at 91.1% which is very promising.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.patrec.2010.08.003
Volume 31
Issue Number 16
Page from 2489
Page to 2492
ISSN 0167-8655
Date Accessioned 2011-01-17
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Artificial Intelligence and Image Processing
URI http://hdl.handle.net/10072/37823
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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