gusucode.com > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM源码程序 > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM\OSU_SVM3.00\Contents.m
% OSU Support Vector Machines (SVMs) Toolbox % version 3.00, Feb. 2002 % % The core of this toolbox is based on Dr. Lin's Lib SVM version 2.33 % For more details, please see: % http://www.csie.ntu.edu.tw/~cjlin/libsvm % % Data Preprocessing: % % Normalize: normalize all the samples to make their energy is 1 % Scale: scale all the samples to a range, such as [-1 1] % % SVM classifier Trainer: % % LinearSVC (u_LinearSVC) % - construct a linear C-SVM (nu-SVM) classifier % from training samples. % PolySVC (u_PolySVC) % - construct a non-linear C-SVM (nu-SVM) classifier % with a polynomial kernel. % RbfSVC (u_RbfSVC) % - construct a non-linear C-SVM (nu-SVM) classifier % with a radial based kernel, or Gaussian kernel. % one-RbfSVC % - construct a non-linear 1-SVM with a radial based % kernel, or Gaussian kernel. % % C-SVC Tester: % % SVMTest - test the performance of a trained % SVM classifier % % % C-SVM Classifier: % % SVMClass - classify a set of input patterns % given a trained SVM classifier % % Low level functions: % (following functions are called by functions listed above) % SVMClass, % mexSVMTrain, mexSVMClass % % Plot results: % SVMPlot2: plot out the training samples and classification boundaries of a two-class problem % SVMPlot: plot out the training samples and classification boundaries of a multi-class problem, % However, generally speaking, the plots obtained by this function is not very attractive. % % Demonstration functions: % Demo\osusvmdemo - the main function of the command-line demonstration % % Demo\c_lindemo (u_lindemo) % - demonstration for constructing and test a linear C-SVM, or nu-SVM, % classifier % Demo\c_poldemo (u_poldemo) % - demonstration for constructing and test a nonlinear C-SVM, or nu-SVM, % classifier with a polynomial kernel % Demo\c_rbfdemo (u_rbfdemo) % - demonstration for constructing and test a nonlinear C-SVM, or nu-SVM, % classifier with a RBF kernel % Demo\one_rbfdemo % - demonstration for constructing and test a nonlinear 1-SVM % with a RBF kernel % Demo\c_clademo (u_clademo) % - demonstration for classify a group of input patterns using % the constructed SVM classifier. % Demo\DemoData_train, Demo\DemoData_test, and Demo\DemoData_class - data used % in this demonstration. they are HRR radar signatures % generated from MSTAR data. %---------------------------------------- % Authors: % Junshui Ma (junshui@lanl.gov), NIS-2, Los Alamos National Lab % Yi Zhao (zhaoy@ee.eng.ohio-state.edu), EE department, Ohio State University %