文件名称:libsvm-3.17

  • 所属分类:
  • Windows编程
  • 资源属性:
  • [MacOS] [Matlab] [源码]
  • 上传时间:
  • 2014-11-21
  • 文件大小:
  • 791kb
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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


(系统自动生成,下载前可以参看下载内容)

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(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

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