partial least squares discrimination analysis 偏最小二乘判别分析(Partial Least Squares Discrimination Analysis,PLS-DA)是一种有监督的统计学习方法,常用于分类问题。它结合了偏最小二乘法(Partial Least Squares,PLS)和判别分析的思想,旨在找到一组变量,使不同类别之间的差异最大化。 PLS-DA 的主要步骤包括: 1...
DiscriminationClassificationTwo Class ClassifiersPartial least squares discriminant analysis (PLS-DA) has been available for nearly 20âyears yet is poorly understood by most users. By simple examples, it is shown graphically and algebraically that for two equal class sizes, PLS-DA using one...
boosting partial least-squares discriminant analysisnear infrared spectroscopytea variety discriminationIn the present study, boosting partial least-squares discriminant analysis (BPLS-DA), as a new pattern recognition technique, has been designed via combining boosting and partial least-squares discriminant ...
Extensive research has demonstrated that near infrared spectroscopy(NIR)and partial least squares discriminant analysis(PLS-DA)can be used to rapidly discr... Y Zhong,HQ Ren,ZH Jiang - 《Spectroscopy & Spectral Analysis》 被引量: 45发表: 2008年 Discrimination of wood biological decay by NIR and...
Partial least squares for discrimination in fMRI data Multivariate methods for discrimination were used in the comparison of brain activation patterns between groups of cognitively normal women who are at eith... Anders,H.,Andersen,... - 《Magnetic Resonance Imaging》 被引量: 34发表: 2012年 Parti...
Here, the theory of the multi‐class partial least squares discriminant analysis (PLS‐DA) is presented. A distinct feature of this theory is that it does not utilize PLS scores but is entirely based on the predicted dummy responses. It is shown that the results of the multi‐class PLS‐DA...
Near-infrared spectroscopy (NIR) was applied to the quantitative analysis of the concentration of alpha-mangostin (aM) in mangosteen pericarp powder (MP). ... J Peerapattana,K Otsuka,M Otsuka - 《Journal of Natural Medicines》 被引量: 13发表: 2013年 Nondestructive evaluation of SW-NIRS and ...
Partial least squares linear discriminant function (PLSD) is a new discriminant function proposed by Kim and Tanaka (1995a). PLSD uses the idea of partial least squares (PLS) method, which was originally developed in multiple regression analysis, in discriminant analysis. In this paper, two typ...
Shetty N., Olesen M.H., Gislum R., Deleuran L.C., Boelt B. Use of partial least squares discriminant analysis on visible-near infrared multispectral image data to examine germination ability and germ length in spinach seeds. J. Chemom. 2012; 26 :462–466....
[translate] adimensionality of the Gabor feature vector and to further enhance its discriminatory power. For optimal[translate] apartial-least-squares discrimination (GKPLSD), is performed in two consecutive steps. In the first[translate]