A New Method Combining LDA and PLS for Dimension Reduction

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能制造技术与系统研究中心 > 多维数据分析团队

	A New Method Combining LDA and PLS for Dimension Reduction
	Tang, Liang 1,2; Peng, Silong1 ; Bi, Yiming 1; Shan, Peng 1; Hu, Xiyuan1
刊名	PLOS ONE
	2014-05-12
卷号	9 期号:5
英文摘要	Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction and classification. In many cases, the projection direction of the classical and extended LDA methods is not considered optimal for special applications. Herein we combine the Partial Least Squares (PLS) method with LDA algorithm, and then propose two improved methods, named LDA-PLS and ex-LDA-PLS, respectively. The LDA-PLS amends the projection direction of LDA by using the information of PLS, while ex-LDA-PLS is an extension of LDA-PLS by combining the result of LDA-PLS and LDA, making the result closer to the optimal direction by an adjusting parameter. Comparative studies are provided between the proposed methods and other traditional dimension reduction methods such as Principal component analysis (PCA), LDA and PLS-LDA on two data sets. Experimental results show that the proposed method can achieve better classification performance.
WOS标题词	Science & Technology
类目[WOS]	Multidisciplinary Sciences
研究领域[WOS]	Science & Technology - Other Topics
关键词[WOS]	PARTIAL LEAST-SQUARES ; GENERALIZED LINEAR-REGRESSION ; PRINCIPAL COMPONENT ANALYSIS ; DISCRIMINANT-ANALYSIS ; CLASSIFIER ENSEMBLES ; ALGORITHM ; EFFICIENT ; OILS
收录类别	SCI
语种	英语
WOS记录号	WOS:000336653300053
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2905]
专题	自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Harbin Univ Sci & Technol, Network Informat Ctr, Harbin, Peoples R China
推荐引用方式 GB/T 7714	Tang, Liang,Peng, Silong,Bi, Yiming,et al. A New Method Combining LDA and PLS for Dimension Reduction[J]. PLOS ONE,2014,9(5).
APA	Tang, Liang,Peng, Silong,Bi, Yiming,Shan, Peng,&Hu, Xiyuan.(2014).A New Method Combining LDA and PLS for Dimension Reduction.PLOS ONE,9(5).
MLA	Tang, Liang,et al."A New Method Combining LDA and PLS for Dimension Reduction".PLOS ONE 9.5(2014).