RF

代码说明：

说明：  随机森林的分类预测，安装包RF，有效实现模式识别的方法(RF predict and classification)

文件列表：

RF, 0 , 2019-03-17
RF\classRF.cpp, 33889 , 2013-09-02
RF\classRF_predict.m, 2166 , 2013-09-02
RF\classRF_train.m, 14829 , 2013-09-02
RF\classTree.cpp, 8947 , 2013-09-02
RF\cokus.cpp, 7678 , 2013-09-02
RF\cokus_test.cpp, 1189 , 2013-09-02
RF\Compile_Check, 856 , 2013-09-02
RF\compile_linux.m, 557 , 2013-09-02
RF\compile_windows.m, 1589 , 2013-09-02
RF\data, 0 , 2019-03-17
RF\data2.mat, 78619 , 2019-01-21
RF\datacnn.mat, 161536 , 2019-01-21
RF\data\twonorm.mat, 48856 , 2013-09-02
RF\data\X_twonorm.txt, 96300 , 2013-09-02
RF\data\Y_twonorm.txt, 600 , 2013-09-02
RF\main.m, 3249 , 2019-03-02
RF\Makefile, 2693 , 2013-09-02
RF\Makefile.windows, 2523 , 2013-09-02
RF\mexClassRF_predict.mexw32, 20480 , 2013-09-02
RF\mexClassRF_train.mexw32, 32256 , 2013-09-02
RF\mex_ClassificationRF_predict.cpp, 5225 , 2013-09-02
RF\mex_ClassificationRF_train.cpp, 8545 , 2013-09-02
RF\precompiled_rfsub, 0 , 2019-03-17
RF\precompiled_rfsub\linux64, 0 , 2016-10-21
RF\precompiled_rfsub\win32, 0 , 2019-03-17
RF\precompiled_rfsub\win32\rfsub.o, 6848 , 2013-09-02
RF\precompiled_rfsub\win64, 0 , 2019-03-17
RF\precompiled_rfsub\win64\rfsub.o, 9840 , 2013-09-02
RF\qsort.c, 4676 , 2013-09-02
RF\README.txt, 3128 , 2013-09-02
RF\RF, 0 , 2019-03-17
RF\rf.h, 5186 , 2013-09-02
RF\rfsub.f, 15851 , 2013-09-02
RF\rfsub.o, 9840 , 2013-09-02
RF\rfutils.cpp, 9609 , 2013-09-02
RF\RF\randomforest-matlab, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\compile_windows.m, 1589 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\data, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\Makefile, 2693 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32, 20480 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2010-02-06
RF\RF\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32, 32256 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 46080 , 2010-02-06
RF\RF\randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2010-02-06
RF\RF\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\README.txt, 3128 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\tempbuild, 0 , 2010-02-06
RF\RF\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2013-09-02
RF\RF\randomforest-matlab\RF_Class_C\Version_History.txt, 1311 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\compile_windows.m, 801 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\data, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\mexRF_predict.mexw32, 20480 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\mexRF_predict.mexw64, 11264 , 2010-02-06
RF\RF\randomforest-matlab\RF_Reg_C\mexRF_train.mexw32, 28672 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\mexRF_train.mexw64, 34304 , 2010-02-06
RF\RF\randomforest-matlab\RF_Reg_C\README.txt, 2623 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\src, 0 , 2019-03-17
RF\RF\randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2013-09-02
RF\RF\randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2013-09-02