Partial least squares discriminant analysis: taking the magic away
作者： Richard G. Brereton , Gavin R. Lloyd
DOI: 10.1002/CEM.2609
关键词:
摘要: … Partial least squares discriminant analysis can be regarded as a linear two-class classifier. That is, the method (or a method that includes PLS-DA as one of its steps) aims to find a …
researchgate.net 
sci-hub.se 参考文章(14)
Richard G. Brereton, Chemometrics for Pattern Recognition ,(2009)
P. C. Mahalanobis, On the generalized distance in statistics Proceedings of the National Institute of Sciences (Calcutta). ,vol. 2, pp. 49- 55 ,(1936)
Sarah J. Dixon, Richard G. Brereton, Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, as dependent on data structure Chemometrics and Intelligent Laboratory Systems. ,vol. 95, pp. 1- 17 ,(2009) , 10.1016/J.CHEMOLAB.2008.07.010
R. A. FISHER, THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS Annals of Human Genetics. ,vol. 7, pp. 179- 188 ,(1936) , 10.1111/J.1469-1809.1936.TB02137.X
Rustem A. Shaykhutdinov, Glen D. MacInnis, Reza Dowlatabadi, Aalim M. Weljie, Hans J. Vogel, Quantitative analysis of metabolite concentrations in human urine samples using 13C{1H} NMR spectroscopy Metabolomics. ,vol. 5, pp. 307- 317 ,(2009) , 10.1007/S11306-009-0155-5
Johan Gottfries, Kaj Blennow, Anders Wallin, C.G. Gottfries, Diagnosis of Dementias Using Partial Least Squares Discriminant Analysis Dementia and Geriatric Cognitive Disorders. ,vol. 6, pp. 83- 88 ,(1995) , 10.1159/000106926
Jerome H. Friedman, Regularized Discriminant Analysis Journal of the American Statistical Association. ,vol. 84, pp. 165- 175 ,(1989) , 10.1080/01621459.1989.10478752
Kanet Wongravee, Gavin R. Lloyd, John Hall, Maria E. Holmboe, Michele L. Schaefer, Randall R. Reed, Jose Trevejo, Richard G. Brereton, Monte-Carlo methods for determining optimal number of significant variables. Application to mouse urinary profiles Metabolomics. ,vol. 5, pp. 387- 406 ,(2009) , 10.1007/S11306-009-0164-4
Svante Wold, Michael Sjöström, Lennart Eriksson, PLS-regression: a basic tool of chemometrics Chemometrics and Intelligent Laboratory Systems. ,vol. 58, pp. 109- 130 ,(2001) , 10.1016/S0169-7439(01)00155-1
Richard G. Brereton, Consequences of sample size, variable selection, and model validation and optimisation, for predicting classification ability from analytical data Trends in Analytical Chemistry. ,vol. 25, pp. 1103- 1111 ,(2006) , 10.1016/J.TRAC.2006.10.005