Review of sparse methods in regression and classification with application to chemometrics
作者： Peter Filzmoser , Moritz Gschwandtner , Valentin Todorov
DOI: 10.1002/CEM.1418
关键词: Clustering high-dimensional data 、 Regression analysis 、 Artificial intelligence 、 Partial least squares regression 、 Principal component analysis 、 Pattern recognition 、 Regression 、 Regression diagnostic 、 Machine learning 、 Computer science 、 Chemometrics 、 Linear discriminant analysis
摘要: … Right: experimental values y i versus the fitted values urn:x-wiley:08869383:media:cem1418:cem1418-math-0058 for the final sparse partial least squares (SPLS) model. The set of …
sci-hub.se 参考文章(29)
Lan Zhou, Jianhua Z. Huang, Zhihua Qiao, Sparse Linear Discriminant Analysis with Applications to High Dimensional Low Sample Size Data ,(2009)
Peter Filzmoser, Kurt Varmuza, Introduction to Multivariate Statistical Analysis in Chemometrics ,(2009)
Robert Tibshirani, Trevor Hastie, Jerome H. Friedman, The Elements of Statistical Learning ,(2001)
Richard G. Brereton, Applied Chemometrics for Scientists ,(2007)
Daniela M. Witten, Robert Tibshirani, Penalized classification using Fisher's linear discriminant Journal of The Royal Statistical Society Series B-statistical Methodology. ,vol. 73, pp. 753- 772 ,(2011) , 10.1111/J.1467-9868.2011.00783.X
Kim-Anh Lê Cao, Debra Rossouw, Christèle Robert-Granié, Philippe Besse, A Sparse PLS for Variable Selection when Integrating Omics Data Statistical Applications in Genetics and Molecular Biology. ,vol. 7, pp. 35- ,(2008) , 10.2202/1544-6115.1390
K. Vanden Branden, M. Hubert, Robust classification in high dimensions based on the SIMCA Method Chemometrics and Intelligent Laboratory Systems. ,vol. 79, pp. 10- 21 ,(2005) , 10.1016/J.CHEMOLAB.2005.03.002
Hui Zou, Trevor Hastie, Robert Tibshirani, Sparse Principal Component Analysis Journal of Computational and Graphical Statistics. ,vol. 15, pp. 265- 286 ,(2006) , 10.1198/106186006X113430
Sijmen de Jong, SIMPLS: an alternative approach to partial least squares regression Chemometrics and Intelligent Laboratory Systems. ,vol. 18, pp. 251- 263 ,(1993) , 10.1016/0169-7439(93)85002-X
Dongjun Chung, Sunduz Keles, Sparse Partial Least Squares Classification for High Dimensional Data Statistical Applications in Genetics and Molecular Biology. ,vol. 9, pp. 1- 32 ,(2010) , 10.2202/1544-6115.1492