Description: 最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归，DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of Platform: |
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Author:刘霞 |
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Description: 最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归，DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of Platform: |
Size: 716800 |
Author:刘霞 |
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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: |
Size: 2048 |
Author:biebietuo |
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Description: 最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归-Least squares support vector machine MATLAB source code, can be used for pattern recognition and regression Platform: |
Size: 1047552 |
Author:刘潭 |
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Description: 有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等-All algorithms related to regression analysis, including a detailed description and the specific principles matlab code, it is suitable for beginners to use, and related engineering personnel reference which contains a linear regression, least squares estimation method, significant test, multiple linear regression using the regression model to predict, nonlinear regression, stepwise regression, etc. Platform: |
Size: 256000 |
Author:曹清云 |
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Description: 应用小区域方差对比，程序简单，预报误差法参数辨识-松弛的思想，利用matlab GUI实现的串口编程例子，多姿态，多角度，有不同光照,最小二乘回归分析算法，通过matlab代码，可实现对二维数据的聚类。-Application of small area variance comparison, simple procedures, Prediction Error Method for Parameter Identification- the idea of relaxation, Use serial programming examples matlab GUI implementation, Much posture, multi-angle, have different light, Least-squares regression analysis algorithm, By matlab code, Can realize the two-dimensional data clustering. Platform: |
Size: 11264 |
Author:ysujk |
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Description: 内含心电信号数据及运用MATLAB写的源代码，预报误差法参数辨识-松弛的思想，最小二乘回归分析算法。- ECG data and includes source code written in MATLAB, Prediction Error Method for Parameter Identification- the idea of relaxation, Least-squares regression analysis algorithm. Platform: |
Size: 10240 |
Author:童红信 |
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Description: 最小冗余最大相关性（MRMR）（MRMR.M）
需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱
偏最小二乘（PLS）回归系数（ReGCOEF.m）
使用MATLAB统计工具箱中的PLSReress
ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.）
从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。
ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。
费雪评分（Fisher评分）
围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m)
Needs external library. See mRMR.m for details.
Download a newer version of the mutual information toolbox
Partial Least Squares (PLS) regression coefficients (regCoef.m)
Uses plsregress.m from MATLAB statistics toolbox
ReliefF (classification) and RReliefF (regression) (relieffWrapper.m)
Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards.
Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation.
Fisher Score (fisherScore.m)
Wraps around fsFisher.m from the ASU Feature Selection toolbox) Platform: |
Size: 11264 |
Author:smilingcost |
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Search - Matlab code for least-squares-regression