搜索资源列表
SVM数据分类预测
- 包含程序和试验数据，已进行MATLAB试运行。可以实现支持向量机对数据进行分类的功能。并进行了案例扩展，讨论了数据归一化对支持向量机的分类结果的影响，讨论了核函数对分类结果的影响。
gaussian.rar
- 高斯滤波核函数生成,可以根据K和要生成对应的高斯核,Gaussian filter kernel generation, according to K and to generate the corresponding Gaussian kernel
Matlab_Examples(gabor).zip
- 改进的核函数算法及其在人脸识别中的应用研究，很好的东东！,Kernel function to improve the algorithm and its application in face recognition research
rgk.rar
- 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.
parzen.rar
- 用parzen窗方法，估计概率密度，采用高期核函数。。。。,With parzen window means of estimating the probability density function using high nucleus. . . .
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
work
- 高斯核函数，矩阵自身的高斯核函数计算，需要指定参数-Gaussian kernel function, matrix itself Gaussian kernel function, the need to specify the parameters
KGaussian1 高斯核核函数的matlab程序
- 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
Kernel-Principal
- 核主元分析法能充分利用核函数来解决非线性问题，具有很好的非线性逼近能力-Kernel principal component analysis can take advantage of the kernel function to solve nonlinear problems, with good nonlinear approximation ability
KDE
- 本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助-kernel based estimation
kernel
- svm 核函数的选择与构造 在matlab中运行-svm kernel function and structure of the choice to run in matlab
kernel
- 本算法主要是对当前常见的核函数进行描述，并显示出其三维图形。-This algorithm is mainly on the current descr iption of the common core functions, and shows its three-dimensional graphics.
SVM_lzb1p0
- svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
pcajiafisher
- pca+fisher是将核函数应用到人脸识别研究中去-pca+ fisher is the kernel function is applied to face recognition research go
kernelFunction
- 计算核函数矩阵 gauss laplace poly hpoly spline cauchy cubic r tps bubble -Calculation of nuclear function matrix gauss laplace poly hpoly spline cauchy cubic r tps bubble
SVM_nuclear_assembly_MATLAB_function
- 用MATLAB来实现支持向量机SVM和核函数的程序集-Support Vector Machine SVM and nuclear assembly MATLAB function. Rar
kernel-ica1_1
- 基于核函数的主分量分析法源代码，可用于人脸识别-Kernel-based principal component analysis source code, can be used for face recognition
kda
- kda程序 用于matlab环境下不同核函数分类问题-kda program for matlab environment classification of the different kernel function
kernel-ica1_2
- 核独立分量分析，一种基于核函数的独立分量分析方法-Kernel Independent Component Analysis, a Kernel-based Independent Component Analysis! !
核函数主成分分析KPCA
- 在多元统计领域中，核函数主成分分析(kernel principal component analysis, kernel PCA)是利用核函数方法技术对主成分分析(PCA)的扩展。使用核函数使原PCA的线性操作是在一个复制的内核希尔伯特空间中执行的。 KPCA的运算步骤势在PCA之前首先对数据进行kernel变换 ，再求相关系数矩阵。(In the field of multivariate statistics, kernel principal component analysis (ke