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数学建模算法大全中的；偏最小二乘回归PLS-Partial least squares regression PLS mathematical modeling algorithm Daquan
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用C语言编制的PLS程序源代码：偏最小二乘法（PLS）是基于因子分析的多变量校正方法，其数学基础为主成分分析。但它相对于主成分回归（PCR）更进了一步，两者的区别在于PLS法将浓度矩阵Y和相应的量测响应矩阵X同时进行主成分分解：-PLS program source code compiled with the C: partial least squares (PLS) is a multivariate calibration method based on factor analysis,
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GA-PLS，遗传-偏最小二乘回归算法，附带方法说明以及具体的运算程序。操作简单，容易上手-GA-PLS, genetic- partial least squares regression algorithm, with the method described and specific operational procedures. Simple, easy to use
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Matlab下的实时跟踪程序，内附demo程序，也可以选择手动选择跟踪区域，这种方式需要将demo中的一段代码前的注释去掉-Main file: Tracking_PLS.m
You can set the initial position of the target object with know parameters or select the target region manually in the first frame.
You can tune the \Si
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libPLS: a Library for Partial Least Squares Regression and Discriminant Analysis-This library provides a whole set of easy-to-use functions for building partial least squares (PLS) regression (PLSR) and discriminant analysis (PLS-DA) models as well a
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用IDL语言编写的计算实对称矩阵的的最大特征值与特征向量，可在主成分分析和偏最小二乘分析中应用。-the procedure uses IDL language to calculate the biggest eigenvalues and corresponding eigenvectorsof a real symmetric matrix A , and is very useful for principal component analysis and p
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这个程序是基于MATLAB实现的偏最小二乘算法-MATLAB implementation is based on partial least squares algorithm
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曲线拟合，函数逼近，预测，偏最小二乘法！-Curve fitting, function approximation, forecast, partial least squares.
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PLS算法 采用归一化 拟合更好的非线性迭代偏最小二乘法（NIPALS）-PLS algorithm using normalized fitting better nonlinear iterative partial least squares (NIPALS)
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递推偏最小二乘法（RPLS）采用自适应更新策略，更好的实现建模和实时监测，并提供实例说明。-Recursive partial least squares (RPLS) using adaptive update strategy, better realize the modeling and real-time monitoring, and provide examples.
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偏最小二乘（PLS）算法建模，并提供一个实例分析，提供正常过程监控Q统计量和T统计量。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide normal process monitoring Q statistic and T statistics.
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偏最小二乘（PLS）算法建模，并提供一个实例分析，提供异常过程监控Q统计量和T统计量。检测出故障。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide process monitoring abnormal Q statistic and T statistics. To detect the fault.
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基于半监督KPLS的概率聚类核，是用matlab编写的一个工具箱，可参考论文：Semisupervised nonlinear feature extraction for image classification和Semisupervised kernel orthonormalized partial least squares-Semisupervised KPLS with Probabilistic Cluster Kernel [SS-KPLS]
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这是一个关于偏最小二乘法的程序，使用Matlab编写。-partial least squares method
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偏最小二乘法，能很好建立物质浓度和与相应的光谱矩阵的回归方程，且能对光谱阵降维和消除噪声影响。-Partial least squares, to establish material concentration and good with the regression equation of the corresponding spectral matrix array dimensionality of the spectrum and can eliminate noise effects
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介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。-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, ROB
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用matlab实现偏最小二乘算法,其中包含一个例子的源代码。-Partial least squares algorithm using matlab
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pls 主要用于偏最小二乘法运算的代码。-partial least-squares regression
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偏最小二乘法算法很好用很方便的计算可适用于MATLAB工具箱-Easily calculate the partial least squares algorithm applied to good use MATLAB toolbox
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基于NIPALS算法的偏线性最小二乘(PLS)Matlab程序-NIPALS linear algorithm based on partial least squares (PLS) Matlab program
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