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SVMMATLAB
- SVM数据挖掘分类实验系统，matlab svm工具箱使用实例
SVM
- 在matlab环境下实现的算法，该算法主要实现SVM分类的算法，svm入门-In the matlab environment to achieve algorithm to achieve SVM classification of the main algorithm, character recognition by SVM to achieve
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
using_matlab_to_use_SVM_to_do_classification
- matlab中用SVM做分类的使用方法,非常有用，对初学者尤为重要-using matlab to use SVM to do classification
matlab
- 适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
MainPlot
- 基于支持向量机的算法分类主程序，该算法是基于libsvm工具箱实现的能很好的实现分类的性能-Matlab sVM learning algorithm
lssvmMATLAB
- 最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.