搜索资源列表
kpca_azaaza
- kpca 基于核主成分分析的源程序，有注释，希望对大家有帮助！-kpca based on kernel principal component analysis, source code, there are comments, want to help you!
KLFDA
- 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.
[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.
svm
- SVM源代码程序，包含了SVM的各个子模块-SVM source code program, including the various sub-modules of the SVM
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.
Entropy_web_code
- 盲源分离；非参数核熵估计；两种计算核的算法，速度更快-Blind Source Separation；non-parametric kernel entropy estimation；two different accelerated kernel algorithms；more volecity
KrlsOn
- Kernel Recursive Least Squares Algorithm source codes
555
- 高斯核函数的源程序代码，列出5种情况，程序包涵仿真图等。值得拥有。-Gaussian kernel function of the source code, listing 5 kinds of circumstances, program includes the simulation diagram, etc. Worth having.
Gauss
- 利用Gauss核密度估计求窗口宽度，只需导入源数据和修改窗口宽度即可计算最优的窗口宽度，方便，简单，实用-Use Gauss kernel density estimation window width requirements, simply import the source data and modify the window width to calculate the optimal width of the window, convenient, simple, practical
elm-kernel
- The MATLAB codes ELM with kernels (for both regression and multi-class classification) work linearly similarly to ELM with random hidden nodes. For the sake of convenience, the source codes of ELM with kernels are given separately.
waveletkernelmultires
- 小波核函数源代码，在基于matlab的SVM计算当中可起到重要作用-Wavelet kernel source code, which may play an important role in SVM-based culculation among matlab
SVM1
- 上传的是支持向量机的程序和使用例子，使用的高斯核编的function 自己写的源程序-Upload the support vector machine procedures and use of examples, Gaussian kernel compiled function used to write the source code
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)