搜索资源列表
kfcm
- 模糊核聚类算法的几篇文章还有其matlab的几个程序-Fuzzy kernel clustering algorithm several articles Matlab program
PCA
- 基于PCA的人脸识别 Matlab代码 两种方法 KL 和kernel-PCA-based face recognition Matlab code
mySVMHighDim
- implementation of kernel SVM in matlab. It plots results. It can solve in high dimensional data
SILK_cpu
- 一个基于核的在线学习算法，运行于CPU上，由matlab和c混合编写。用于背景建模和前景提取。-A kernel-based online learning algorithm, running on the CPU, prepared by the mixture of matlab and c. For background modeling and the prospects for extraction.
kernel_function
- a definition of kernel function in MATLAB code
kernelPCA
- kernel PCA MATLAB code
spider
- 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
kernelGDA
- 基于核函数的广义判别算法，使用matlab语言编程-Principal component analysis based on kernel function algorithm, using matlab language programming
sparsekernelmethods_Code
- 稀疏核方法的逼近算法,Matlab实现，非常快速。-sparse kernel methods
KernelGraphCuts
- kernel graph cut segmentation in image processing using matlab
code
- 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
SVMmatlab865703589
- 用MATLAB编写的支持向量机，实现了线性可分与线性不可分的情况，还有非线性支持向量机，里面部分常用的核函数，从而达到精确的分类效果。-Prepared using MATLAB support vector machine, linearly separable points with linear, non-linear support vector machine, the inside part of the kernel function, so as to achieve the a
exclass1
- 支持向量机SVM和核函数的matlab实例-Examples of support vector machines SVM and kernel function matlab
sig
- 支持向量机SVM和核函数的matlab实例-Examples of support vector machines SVM and kernel function matlab
pcnn
- 采用PCNN和ICM方法的图像去噪时的特征提取方法步骤-Examples of support vector machines SVM and kernel function matlab
KPCA1
- 改程序为基于核函数的主成分分析算法的MATLAB实现程序,对于学习KPCA有很大帮助-This program is the MATLAB program which is based on the kernel principal component analysis
drtoolbox
- Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
density
- kernel density estimation MATLAB
SVM
- 用matlab的核函数对钓鱼岛实现分类（模式识别作业）-Kernel function using matlab realize the Diaoyu Islands classification (pattern recognition operations)
KernelRegressionBasedImageProcessing
- 基于核回归的迭代图像去噪算法，matlab源码-Kernel based iterative image denoising algorithm, matlab code