Description: 偏最小二乘回归建模分析程序，在matlab里面运行，是较新的一种统计分析方法，较以往的分析方法相比有很多优点-partial least squares regression modeling analysis procedures, the operating inside Matlab, it is a relatively new statistical analysis method, compared to the previous method has a lot of advantages Platform: |
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Author:李小斌 |
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Description: 一种新的基于多项式的非线性偏最小二乘算法-a new polynomial based on the nonlinear partial least squares algorithm Platform: |
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Author:tianww |
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Description: 应用MATLAB编写的偏最小二乘法程序,且具有画图功能-MATLAB prepared by partial least squares procedure, which is drawing functions Platform: |
Size: 6440 |
Author:周书财 |
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Description: PCA and PLS aims:to get some
insight into the bilinear factor models Principal Component Analysis
(PCA) and Partial Least Squares (PLS) regression, focusing on the
mathematics and numerical aspects rather than how s and why s of
data analysis practice. For the latter part it is assumed (but not
absolutely necessary) that the reader is already familiar with these
methods. It also assumes you have had some preliminary experience
with linear/matrix algebra. Platform: |
Size: 270336 |
Author:郭大 |
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Description: 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modeling and prediction. Platform: |
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Author:yinjj |
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Description: Matlab PLS toolbox 3.5 manual
PLS_Toolbox is a collection of essential and advanced chemometric routines that work
within the MATLAB™ computational environment1. It contains the tools required by
chemical engineers, analytical chemists and other scientists to explore their data and build
predictive models. PLS_Toolbox gets its name from the Partial Least Squares (PLS)
regression method, which has become the standard calibration method in many chemical
applications. Although PLS_Toolbox has grown far beyond just PLS, the name has been
retained for the sake of continuity.-Matlab PLS toolbox 3.5 manual
PLS_Toolbox is a collection of essential and advanced chemometric routines that work
within the MATLAB™ computational environment1. It contains the tools required by
chemical engineers, analytical chemists and other scientists to explore their data and build
predictive models. PLS_Toolbox gets its name from the Partial Least Squares (PLS)
regression method, which has become the standard calibration method in many chemical
applications. Although PLS_Toolbox has grown far beyond just PLS, the name has been
retained for the sake of continuity. Platform: |
Size: 603136 |
Author:Jolin |
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Description: System identification with adaptive filter using full and partial-update Recursive-Least-Squares
-System identification with adaptive filter using full and partial-update Recursive-Least-Squares
Platform: |
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Author:Peter Tiong |
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Description: Our toolbox currently contains implementations of robust methods for
location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-
LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), princi-
pal component regression (RPCR), partial least squares (RSIMPLS) and classi¯ cation
(RDA). Only a few of these methods will be highlighted in this paper. The toolbox
also provides many graphical tools to detect and classify the outliers. The use of these
features will be explained and demonstrated through the analysis of some real data
sets. Platform: |
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Author:王一 |
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Description: 所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis prior to the data sets of principal components analysis dimensionality reduction, the following source code is not deleted, GreenSim team, you are free to use, reproduced please note Ming GreenSim Team (http://blog.sina.com.cn/greensim). Platform: |
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Author:biebietuo |
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Description: 为了更有效地提取图像的局部特征，提出了一种基于2维偏最小二乘法(two—dimensional partial least
square，2DPLS)的图像局部特征提取方法，并将其应用于面部表情识别中。该方法首先利用局部二元模式(1ocal
binary pattern，LBP)算子提取一幅图像中所有子块的纹理特征，并将其组合成局部纹理特征矩阵。由于样本图像
被转化为局部纹理特征矩阵，因此可将传统PLS方法推广为2DPLS方法，用来提取其中的判别信息。2DPLS方法
通过对类成员关系矩阵的构造进行相应的修改，使其适应样本的矩阵形式，并能体现出人脸局部信息重要性的差
异。同时，对于类成员关系协方差矩阵的奇异性问题，也推导出了其广义逆的解析解。基于JAFFE人脸表情库的
实验结果表明，该方法不但可以有效地提取图像局部特征，并能取得良好的表情识别效果。-To better the image of the local feature extraction, a partial least squares method based on 2D (two-dimensional partial least
square, 2DPLS) image local feature extraction method, and applied to facial expression recognition. In this method, use of local binary pattern (1ocal
binary pattern, LBP) operator extracts an image texture features of all sub-blocks, and their combination into the local texture feature matrix. As the sample image
Be translated into the local texture feature matrix, so the traditional PLS method can be generalized to 2DPLS method used to extract the identification information. 2DPLS method
Through the class membership matrix in the corresponding modifications to adapt the sample matrix, and can reflect the importance of face poor local information
Different. Meanwhile, members of the class covariance matrix of the singular relations issues, also derived the generalized inverse of the analytical solution. Based on the JAFFE facial expression database
Platform: |
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Author:MJ |
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Description: 物理实验数据处理软件,供对偏最小二乘算法感兴趣的朋友参考-Physics Experiment Data Processing Software for Partial Least Squares and interest on the reference to a friend Platform: |
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Author:wangjinshe |
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Description: 偏最小二乘回归提供一种多对多线性回归建模的方法，特别当两组变量的个数很
多，且都存在多重相关性，而观测数据的数量（样本量）又较少时，用偏最小二乘回归
建立的模型具有传统的经典回归分析等方法所没有的优点。 -Partial least squares regression provides a many-to-many linear regression modeling methods, especially when the number of the two sets of variables, and the existence of multiple correlation, while the number of observations (sample size) and less created using partial least squares regression model with a traditional classical regression analysis method advantages. Platform: |
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Author:yangchenghu |
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Description: 偏最小二乘法回归。使用这个方法计算出一组数据的回归方程-Partial least squares regression. Use this method to calculate the regression equation of a set of data Platform: |
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Author:詹东文 |
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Description: The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there. Platform: |
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Author:choesongil |
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Search - partial least squares