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
Raman spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pensTHIN-LAYER-CHROMATOGRAPHYTRANSFORM INFRARED-SPECTROSCOPYFALSE IDENTITY DOCUMENTSFORENSIC ANALYSIS...
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 ...
Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa. ISPRS J. Photogramm. Remote Sens. 2013, 79, 19–28. [CrossRef] 42. Wilson, N.; Greenberg, J.; Jumpasut, A.; ...
Partial least squares discriminant analysis (PLS-DA) PLS-DA is one of the most popular classification method coupled the properties of PLS regression with the discrimination power of a classification technique, which is carried out by PLS regression with an exclusive dichotomous (binary) dependent var...
[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]
利用偏最小二乘法的一种变量筛选法 A kind of variable selection method by application of partial least squares;
The regression classifications used for forecasting analysis are: Ordinary Least Squares (OLS), Linear Regression Models (LRM), Nonlinear Regression Models (NLRM), Nonparametric Regression Models (NRM), Logistic Regression Models (LoRM), Stepwise Regression Models (SRM) and Partial Least Squares Regress...
A standard partial least squares analysis provides model fit statistics, in addition to model parameter estimates and variable importance in the projection (PLS-VIP) statistics. It is this measure, the PLS-VIP, which has been found to be useful in understanding the reduced X space predictor ...
Partial Least Squares (PLS) is a wide class of methods for modeling relations between sets of observed variables by means of latent variables. It comprises of regression and classification tasks as well as dimension reduction techniques and modeling tool