1.LIBSVM and Liblinear differences, simple source analysis.
http://blog.csdn.net/zhzhl202/article/details/7438160
http://blog.csdn.net/zhzhl202/article/details/7438313LIBSVM is a software that integrates support vector machines (c-svc, nu-svc),
Sometimes we need to use the SVR (support vector regression) method, and Matlab's own SVM toolbox can not do regression analysis, so there is the intention to install the LIBSVM package.There are some difficulties in the middle, such as unable to
1. Required Software Download:(1) LIBSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/)(2) Python(3) Gnuplot drawing software (ftp://ftp.gnuplot.info/pub/gnuplot/)Only the Windows environment is considered here:1, download LIBSVM Zip package, just
Original: http://blog.csdn.net/u014691453/article/details/40393137Software version:Visual Studio version: VS2012(Note: The use of the method on the VS2010 above is also available, but the problem may arise is: VS2010 and VS2012 Some of the functions
LIBSVM use Experience (for new edition usage modification)
(New Libsvm,svm-train, the old version is Svmtrain Windows users, gnuplot need to install, not decompression, EXE file name Gnuplot.exe, the old version after the decompression for the
0. Download The libsvm compressed package and decompress it to the local directory (from: http://www.csie.ntu.edu.tw /~ Cjlin/libsvm/index.html)1. Create a JAVA project and import the libsvm package and its source code.2. Write the test code and use
LIBSVM parameter selection [predictive label, accuracy rate, decision value]=svmpredict (test label, test data, training model);Original reference: http://blog.csdn.net/carson2005/article/details/6539192A summary of the selection of SVM parameters C&
http://download.csdn.net/my here can download support Vector machine Toolbox, I maltab r2012b and 3.1 matching use, others do not, we look at the tutorial after the problem, if this article does not mention, first search errors, if not explicitly
Main Reference Blog:1, Eclipse + libsvm-3.12 using SVM to implement the simple linear classification Cnblog The main introduction of how to import the jar package problem. 2, LIBSVM Introductory interpretation of CSDN, mainly on the LIBSVM of the
1. Use libsvm for GUI in WEKA
1. In http://www.cs.iastate.edu /~ Yasser/wlsvm/download the wlsvm.zip compressed package, decompress the packageThe libsvm. jar and wlsvm. Jar files in the \ Lib folder are placed in the WEKA installation directory.
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