LibSvm添加到Matlab

1.下载libSVM工具包

http://pan.baidu.com/s/1bnGNTBT或者下载最新版的到http://www.csie.ntu.edu.tw/~cjlin/libsvm/

2.解压缩后放在matlab的toolbox目录下

如我的目录C:\Program Files\MATLAB\R2012a\toolbox\libsvm

3.打开matlab，matlab的菜单 File->Set Path->add with subfolders（可直接用Add Folder）里，把C:\Program Files\MATLAB\R2011a\toolbox\libsvm\matlab目录也添加进去

4.在matlab中输入mex –setup

>> mex -setup

Welcome to mex -setup.  This utility will help you set up
a default compiler.  For a list of supported compilers, see
http://www.mathworks.com/support/compilers/R2012a/win64.html 

Please choose your compiler for building MEX-files: 

Would you like mex to locate installed compilers [y]/n? y

Select a compiler:
[] Microsoft Visual C++  SP1 in C:\Program Files (x86)\Microsoft Visual Studio 9.0 

[] None 

Compiler: 

Please verify your choices: 

Compiler: Microsoft Visual C++  SP1
Location: C:\Program Files (x86)\Microsoft Visual Studio 9.0 

Are these correct [y]/n? y

***************************************************************************
  Warning: MEX-files generated using Microsoft Visual C++  require
           that Microsoft Visual Studio  run-time libraries be
           available on the computer they are run on.
           If you plan to redistribute your MEX-files to other MATLAB
           users, be sure that they have the run-time libraries.
*************************************************************************** 

Trying to update options file: C:\Users\Wind\AppData\Roaming\MathWorks\MATLAB\R2012a\mexopts.bat
From template:              C:\PROGRA~\MATLAB\R2012a\bin\win64\mexopts\msvc90opts.bat 

Done . . . 

**************************************************************************
  Warning: The MATLAB C and Fortran API has changed to support MATLAB
           variables with more than ^- elements.  In the near future
           you will be required to update your code to utilize the new
           API. You can find more information about this at:
           http://www.mathworks.com/help/techdoc/matlab_external/bsflnue-1.html
           Building with the -largeArrayDims option enables the new API.
************************************************************************** 

不同的电脑因为安装的vc版本不同可能会出现不同的结果

5.在matlab current Floder中进入libSVM下的matlab路径

在matlab中输入make

如果顺利的话，可以正确编译

6.测试是否安装

>>[heart_scale_label,heart_scale_inst] =libsvmread('heart_scale');
>>model = svmtrain(heart_scale_label, heart_scale_inst, '-c 1 -g 0.07');

　　*
　　optimization finished, #iter = 134
　　nu = 0.433785
　　obj = -101.855060, rho = 0.426412
　　nSV = 130, nBSV = 107
　　Total nSV = 130

>>[predict_label, accuracy, dec_values] = svmpredict(heart_scale_label, heart_scale_inst, model); %

输出

Accuracy = 86.6667% (234/270) (classification)

证明已经配置完成