搜索资源列表
S200502106_SVM_for_classfication
- SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matla
KPCA.zip
- kPCA程序 一个关于kernel pca的实现代码,kpca
R-KDDA
- 核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf] Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using Kernel Direct Discriminant Anal
svdd
- 超球面支持向量机，一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
SVMbyQuadprog
- This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
kpca_toy
- Kernel PCA的经典示例程序，非常有帮助，也很易懂。-Kernel PCA classic example of the procedure
kica
- 核独立成分分析的相关文章，非常经典的文章，适合初学者-matlab kernel independent component analysis,with demostration,very useful to PR lover
KDA
- KDA: Kernel Discriminant Analysis
pso-svm
- 这是一个用pso优化SVM中的惩罚参数C和核参数g的MATLAB源码，简单易学-This is an optimization of SVM with the pso in the penalty parameter C and kernel parameter g of the MATLAB source code, easy to learn
Inertiadevicefaultpredictionbasedonwavelet
- ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支 持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数 选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真 实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the ability of least square support vect
fisher-and-Fuzzy-similarity
- 通过matlab语言实现Fisher分类和基于核Fisher分类的设计与实现研究和模糊相似关系直接用于分类，实现结果良好，可供大家使用，互相学习。-Fisher classifier matlab language and kernel Fisher classification-based design and realization of fuzzy similarity relations for the classification, to achieve good results fo
mySVMHighDim
- implementation of kernel SVM in matlab. It plots results. It can solve in high dimensional data
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
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
kernel
- 基于核的模糊C均值matlab仿真程序，功能函数是用c写的，自带图像可检验算法。-Kernel-based fuzzy C-means matlab simulation program, performance function is used to write c, comes with an image can be tested algorithms.
SVM-kernel
- SVM核函数源代码，用matlab语言编写的，适用于分类及相关问题的分析-The SVM kernel function source code, written with matlab language, suitable for classification and analysis of the related problem
kernel
- 核函数的实现，核分析 和核主成份分析，核Fisher判别 的matlab实现-Nuclear function, nuclear analysis and kernel principal component analysis, kernel Fisher matlab implementation
ckn-matlab-v1.0-svn2014-11-19.tar
- Convolutional Kernel Network 算法原码-Code of Convolutional Kernel Network. Used for feature extraction and classification, LEAR France
MatlabRegressionCode
- lssvm回归预测分析，用各种核函数进行参数调优过程，使获得最佳的预测结果。(Lssvm regression prediction analysis, with a variety of kernel functions for parameter tuning process, so that the best predictions.)
KRR
- 核岭回归算法 输入数据集(需要分开存放训练集和测试集) 利用4重交叉验证法调参 最后输出分类准确率(Kernel ridge regression algorithm Input data set (training set and test set need to be stored separately) Parameter adjustment by 4-fold cross validation Final output classification accuracy)