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6下载：
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines,
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信号自适应处理，使用的核函数为高斯径向核函数。,Adaptive signal processing, use the kernel function for the Gaussian radial kernel function.
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核函数中经常用到的高斯核核函数的matlab程序-Kernel function often used in the Gaussian kernel function matlab nuclear program
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代码用于估计关联维数。包括G-P算法(corrint.m)，高斯核关联算法(gka.m) 和Judd算法(judd.m)-Correlation dimension estimation code. Algorithms for estimating the correlation dimension using the grassberger-Proccacia approach (corrint.m), the Gaussian-Kernel algorithm (gka.m) and Ju
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gaussian kernel with matlab
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这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
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Gradient calculation using first order derivative of Gaussian. by using a 2-D Gaussian kernel, derivatives along x and y directions are calculated
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this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
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mATLAB CODE FOR gAUSSIAN KERNEL
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matlab程序：高斯核回带用法的支持向量机，对样本经行训练得到预测模型-matlab program: the Gaussian kernel back with the use of support vector machine prediction model of the samples by the line training
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该程序将高斯核函数做成matlab中的函数形式。当需要使用时加载即可使用，简单方便。-The program will be made in matlab Gaussian kernel function form. When you need to use to load to use, simple and convenient.
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归一化高斯核自适应LMS盲均衡的matlab代码，并附有详解-Normalized Gaussian kernel adaptive LMS blind equalization matlab code, along with Explanation
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matlab论坛里找到的使用自己的数据进行实验，可用。KFDA里就是使用例程。里面是有5类数据。通过高斯核进行LDA分类。-by using the FDA with Gaussian kernel，to classify five different patterns。
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This scr ipt simply used Gaussian and Morlet Kernel to show you how apply LS-SVR in MATLAB
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Matlab高斯核模型的l2约束最小二乘法学习-Constrained least squares learning with Gaussian kernel model
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