搜索资源列表
kdda
- 实现信号的KDDA映射变换，KDDA属于线性子空间分析方法LDA的改进算法，采用核方法实现映射
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
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
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
[matlab]
- 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
kde.tar
- kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一-KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion
kernelbasedmoothing
- 基于核函数回归方法的图像去噪，图像平滑。对于图像领域的研究者有很大作用-Kernel regression method based on image denoising, image smoothing. Researchers in the field for the image plays a significant role
kernelpca_tutorial
- Kernel pca基于核方法的特征提取算法-feature selection
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.
sparsekernelmethods_Code
- 稀疏核方法的逼近算法,Matlab实现，非常快速。-sparse kernel methods
BG
- 属于地球物理反演。不适定问题求解方法四，平均核方法。（有图像）-Belong to the geophysical inversion. Four ill-posed problem solving method, the average nuclear methods. (image)
luoxuanjiangqiangdujiaohe
- 运用MATLAB编写的螺旋桨强度校核程序。按照《船舶原理》书上的校核方法编写。输入螺旋桨已知数据，直接计算出得出是否合格。-MATLAB prepared using a propeller strength check program. Prepared in accordance with checking methods Ship Principle book. Enter the propeller known data, derived directly calculate eli
luoxuanjiangkongpaojiaohe
- 运用MATLAB编写的螺旋桨空泡校核程序。按照《船舶原理》书上的校核方法编写。输入螺旋桨已知数据，直接计算出是否合格。-Using MATLAB prepared by propeller cavitation check program. Prepared in accordance with checking methods Ship Principle book. Enter the propeller known data, directly calculate eligibilit
核主成分分析
- 在具有降维作用的核主成分分析方法基础上增加一个核函数成为新的核主成分分析方法。(On the basis of kernel principal component analysis with dimension reduction, a kernel function is added to be a new kernel principal component analysis method.)
GFK_v1
- 测地距离核方法的预适应方法，将源域和目标域降到一个共同子空间进行学习(The geodesic distance, the domain adaptation method of the kernel method, reduces the source domain and the target domain to a common subspace for learning)
SVM-KM
- SVM-KM工具箱 关于支持向量机核方法的有利工具(svm-km toolbox, a useful tool for support vector machine about kernel method.)
对于第一类Fredholm积分方程求解
- philips方法 twomey方法 twomey方法的推广式 BG平均核方法 程序是MATLAB形式
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
核Fisher鉴别分析方法（KFDA）
- 基于核函数的Fisher分类判别，用于比同种类的分类。(Fisher classification based on kernel function)