How to install the libsvm for MATLAB on Unix machine Linear-kernel SVM for binary classification kernel SVM for binary classification cross validation for C and Gamma multi-class SVM: one-vs-rest (OVR) More ready-to-use matlab example Available matlab codes to download

use_libsvm\use_libsvm\.DS_Store
..........\..........\automaticParameterSelection.m
..........\..........\automaticParameterSelection2.m
..........\..........\classification_results.jpg
..........\..........\classifyUsingCrossValidation.m
..........\..........\data\circle.mat
..........\..........\....\dna.scale
..........\..........\....\dna.scale.t
..........\..........\....\ring_3Class_test.mat
..........\..........\....\ring_3Class_train.mat
..........\..........\....\ring_4Class_test.mat
..........\..........\....\ring_4Class_train.mat
..........\..........\....\spiral_Nc10_cv.mat
..........\..........\....\spiral_Nc10_test.mat
..........\..........\....\spiral_Nc10_train.mat
..........\..........\....\spiral_Nc4_test.mat
..........\..........\....\spiral_Nc4_train.mat
..........\..........\....\spiral_Nc5_Ns200.mat
..........\..........\....\spiral_Nc5_test.mat
..........\..........\....\spiral_Nc5_train.mat
..........\..........\demo_libsvm_test1.m
..........\..........\demo_libsvm_test10.m
..........\..........\demo_libsvm_test11.m
..........\..........\demo_libsvm_test12.m
..........\..........\demo_libsvm_test13.m
..........\..........\demo_libsvm_test2.m
..........\..........\demo_libsvm_test3.m
..........\..........\demo_libsvm_test4.m
..........\..........\demo_libsvm_test5.m
..........\..........\demo_libsvm_test6.m
..........\..........\demo_libsvm_test7.m
..........\..........\demo_libsvm_test8.m
..........\..........\demo_libsvm_test9.m
..........\..........\generateCircularData2D.m
..........\..........\generateColorList.m
..........\..........\generateRingsData.m
..........\..........\generateSpiralDataWithLabels.m
..........\..........\get_cv_ac.m
..........\..........\get_cv_ac_Bot.m
..........\..........\ovrpredict.m
..........\..........\ovrpredictBot.m
..........\..........\ovrpredict_bot.m
..........\..........\ovrtrain.m
..........\..........\ovrtrainBot.m
..........\..........\svmNFoldCrossValidation.m
..........\..........\svmPredictAccuracy.m
..........\..........\svm_crossvalidation_result.jpg
..........\..........\svm_crossvalidation_scale1.jpg
..........\..........\svm_crossvalidation_scale2.jpg
..........\..........\svm_crossvalidation_scale3.jpg
..........\..........\svm_cv_classifier_compare.jpg
..........\..........\svm_cv_classifier_result.jpg
..........\..........\svm_cv_classifier_sortedData.jpg
..........\..........\svm_cv_classifier_sortedData2.jpg
..........\..........\svm_linear_kernel.jpg
..........\..........\svm_mlp_kernel.jpg
..........\..........\svm_ovr_class_feature_plot.jpg
..........\..........\svm_ovr_results.jpg
..........\..........\svm_polynomial_kernel.jpg
..........\..........\svm_rbf_kernel.jpg
..........\..........\svm_sigmoid_kernel.jpg
..........\..........\svm_spiral_10C_total_data.jpg
..........\..........\svm_spiral_confusion_matrix.jpg
..........\..........\svm_sprial_10C_decision_value.jpg
..........\..........\svm_sprial_10C_results.jpg
..........\..........\svm_sprial_10C_train.jpg
..........\..........\svm_sprial_10C_train_sideview.jpg
..........\..........\svm_sprial_10C_whole_domain.jpg
..........\..........\whole_data_plotted.jpg
..........\__MACOSX\use_libsvm\._.DS_Store
..........\use_libsvm\data
..........\__MACOSX\use_libsvm
..........\use_libsvm
..........\__MACOSX
use_libsvm

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