文件名称:libsvm-3.17
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libSVM工具箱适合用于模式识别,分类,有视频
简单易学,合计使用,安装即可-LibSVM toolbox suitable for pattern recognition, classification, a video
Easy to learn, combined use and installation
简单易学,合计使用,安装即可-LibSVM toolbox suitable for pattern recognition, classification, a video
Easy to learn, combined use and installation
(系统自动生成,下载前可以参看下载内容)
下载文件列表
(工具箱)libsvm-3.17\libsvm-3.17\(视频观看1)matlab_svm_1_original\libsvm 参数说明.txt
.....................\...........\................................\matlab_SVM 视频讲解_1_[by faruto].ppt
.....................\...........\................................\normalization.m
.....................\...........\................................\winedata.mat
.....................\...........\................................\wine_SVM.m
.....................\...........\................................\数据介绍.txt
.....................\...........\................................\讲解小记录.txt
.....................\...........\COPYRIGHT
.....................\...........\FAQ.html
.....................\...........\heart_scale
.....................\...........\heart_scale.mat
.....................\...........\java\libsvm\svm.java
.....................\...........\....\......\svm.m4
.....................\...........\....\......\svm_model.java
.....................\...........\....\......\svm_node.java
.....................\...........\....\......\svm_parameter.java
.....................\...........\....\......\svm_print_interface.java
.....................\...........\....\......\svm_problem.java
.....................\...........\....\libsvm.jar
.....................\...........\....\Makefile
.....................\...........\....\svm_predict.java
.....................\...........\....\svm_scale.java
.....................\...........\....\svm_toy.java
.....................\...........\....\svm_train.java
.....................\...........\....\test_applet.html
.....................\...........\LibsvmClass.m
.....................\...........\Makefile
.....................\...........\Makefile.win
.....................\...........\matlab-svm\libsvmread.c
.....................\...........\..........\libsvmread.mexw64
.....................\...........\..........\libsvmwrite.c
.....................\...........\..........\libsvmwrite.mexw64
.....................\...........\..........\make.m
.....................\...........\..........\Makefile
.....................\...........\..........\README
.....................\...........\..........\svmpredict.c
.....................\...........\..........\svmpredict.mexw64
.....................\...........\..........\svmtrain.c
.....................\...........\..........\svmtrain.mexw64
.....................\...........\..........\svm_model_matlab.c
.....................\...........\..........\svm_model_matlab.h
.....................\...........\python\Makefile
.....................\...........\......\README
.....................\...........\......\svm.py
.....................\...........\......\svmutil.py
.....................\...........\README
.....................\...........\svm-predict.c
.....................\...........\svm-scale.c
.....................\...........\....toy\gtk\callbacks.cpp
.....................\...........\.......\...\callbacks.h
.....................\...........\.......\...\interface.c
.....................\...........\.......\...\interface.h
.....................\...........\.......\...\main.c
.....................\...........\.......\...\Makefile
.....................\...........\.......\...\svm-toy.glade
.....................\...........\.......\qt\Makefile
.....................\...........\.......\..\svm-toy.cpp
.....................\...........\.......\windows\svm-toy.cpp
.....................\...........\svm-train.c
.....................\...........\svm.cpp
.....................\...........\svm.def
.....................\...........\svm.h
.....................\...........\tools\checkdata.py
.....................\...........\.....\easy.py
.....................\...........\.....\grid.py
.....................\...........\.....\README
.....................\...........\.....\subset.py
.....................\...........\Use_precomputed_kernelForLibsvm_example.m
.....................\...........\wiAndv_example.m
.....................\...........\..ndows\libsvm.dll
.....................\...........\.......\libsvmread.mexw64
.....................\...........\.......\libs