Java realization of a support vector machine (including source code), SVM algorithm is rather complicated, but this process appears to be better understood.

一个Java实现的支持向量机(含源码)libsvm-2.81
...........................................\COPYRIGHT
...........................................\FAQ.html
...........................................\heart_scale
...........................................\java
...........................................\....\libsvm
...........................................\....\......\svm.java
...........................................\....\......\svm.m4
...........................................\....\......\svm_model.java
...........................................\....\......\svm_node.java
...........................................\....\......\svm_parameter.java
...........................................\....\......\svm_problem.java
...........................................\....\libsvm.jar
...........................................\....\Makefile
...........................................\....\svm_predict.java
...........................................\....\svm_toy.java
...........................................\....\svm_train.java
...........................................\....\test_applet.html
...........................................\Makefile
...........................................\Makefile.win
...........................................\python
...........................................\......\cross_validation.py
...........................................\......\Makefile
...........................................\......\README
...........................................\......\svm.py
...........................................\......\svmc.i
...........................................\......\svmc_wrap.c
...........................................\......\svm_test.py
...........................................\......\test_cross_validation.py
...........................................\README
...........................................\svm-predict.c
...........................................\svm-scale.c
...........................................\svm-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.h
...........................................\tools
...........................................\.....\easy.py
...........................................\.....\grid.py
...........................................\.....\README
...........................................\.....\subset.py
...........................................\windows
...........................................\.......\python
...........................................\.......\......\svmc.dll
...........................................\.......\svmpredict.exe
...........................................\.......\svmscale.exe
...........................................\.......\svmtoy.exe
...........................................\.......\svmtrain.exe

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