Comparison of discriminant analysis methods applied to stellar data classification

Xi Wang; Fei Xing; Ping Guo

doi:10.1117/12.538644

25 September 2003 Comparison of discriminant analysis methods applied to stellar data classification

Xi Wang, Fei Xing, Ping Guo

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538644
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

In this study, five classifiers, namely quadratic discriminant analysis, linear discriminant analysis, regularlized discriminant analysis, leave-one-out covariance matrix estimate and Killback-Leibler information measure based method are considered for classification of stellar spectra data. Because stellar spectra data sets are severly ill-posed, we first adopt some feature selection method such as principal component analysis to reduce data dimensionality. The input of the classifiers are those selected features, and the cross-validation technique is used to optimize the regularization parameters. Experimental results show that in most cases, regularized classifiers are high classification rates than that of quadratic discriminant analysis, but parameter optimization is time consuming. From experiments of exhaustive searching regularization parameter, it is found that in some cases cross-validation method is not always good in the selection of models.

Citation Download Citation

Xi Wang, Fei Xing, and Ping Guo "Comparison of discriminant analysis methods applied to stellar data classification", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538644

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available