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kernel-ica1_0.tar
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
stprtool.rar
- 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,
kernel-density-estimation.rar
- 一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值,kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensiona
Kernel_Methods_for_Pattern_Ana
- 该文档包含了描述核方法的经典书籍Kernel+Methods+for+Pattern+Analysis以及附带书中的源码，非常适合学习核方法的研究者，希望大家喜欢～,this document include the classic book Kernel+Methods+for+Pattern+Analysis which describs the kernel trick in detail, and with the souce code in it, hope you will like
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.
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
Kernel-PCA
- KPCA经典程序，是KPCA的创始人写的，为学习KPCA提供了模板。-Classic KPCA procedures, is the founder of KPCA wrote, KPCA provides templates for learning.
ar_dct_kda
- 在AR人脸库上进行DCT变换，使用DCT变换后的图像进行 kernel fisher discriminant analysis,其中kernel 函数可以自己选择-In the AR face database on the DCT transform, using the DCT transformed image kernel fisher discriminant analysis, which can choose the kernel function
kernel_pca
- Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with
fcm
- 核聚类算法FCM算法及性能分析,有图片,FCM模糊C均值图象,有窗体-Kernel clustering algorithm FCM algorithm and performance analysis, pictures, FCM fuzzy C means the image has the form
kernel
- gaussian kernel with matlab
kernel-ica
- 利用KICA实现聚类，里面含有数据集，可以进行测试-clustering with KICA
gkdj
- 以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。-That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estim
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-PCA
- Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a n
KERNEL-LDA
- Kernel Discriminant Analysis a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.-Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well
Kernel-PCA
- 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
Kernel PCA and Pre-Image Reconstruction
- Kernel Pca for face recogntion
kernel及其应用
- 人工智能学习算法中的kernel变换函数及其应用。将低纬转变成高纬函数(kernel Transformation function)
kernel-regression-master
- kernel方法，进行半监督学习，数据分类与识别，有标签与无标签(KERNELmethod,semi-supervised learning,classification,label unlabel)