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随机森林

于 2020-04-03 发布
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下载积分: 1 下载次数: 15
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代码说明：

说明：  利用matlab中随机森林工具包数据进行预测(RF toolkit data in matlab was used for prediction)

文件列表：

randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2020-04-03
randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2020-04-03
randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2020-04-03
randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2020-04-03
randomforest-matlab\RF_Class_C\compile_windows.m, 1589 , 2020-04-03
randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2020-04-03
randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2020-04-03
randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2020-04-03
randomforest-matlab\RF_Class_C\Makefile, 2693 , 2020-04-03
randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2020-04-03
randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2020-04-03
randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 43520 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2020-04-03
randomforest-matlab\RF_Class_C\README.txt, 3128 , 2020-04-03
randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2020-04-03
randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2020-04-03
randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2020-04-03
randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2020-04-03
randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2020-04-03
randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2020-04-03
randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2020-04-03
randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2020-04-03
randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2020-04-03
randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2020-04-03
randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2020-04-03
randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2020-04-03
randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2020-04-03
randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2020-04-03
randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2020-04-03
randomforest-matlab\RF_Class_C\Version_History.txt, 1311 , 2020-04-03
randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2020-04-03
randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2020-04-03
randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2020-04-03
randomforest-matlab\RF_Reg_C\compile_windows.m, 801 , 2020-04-03
randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2020-04-03
randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2020-04-03
randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2020-04-03
randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2020-04-03
randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2020-04-03
randomforest-matlab\RF_Reg_C\README.txt, 2623 , 2020-04-03
randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2020-04-03
randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\mex_regressionRF_predict.cpp, 3864 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\mex_regressionRF_train.cpp, 12391 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\qsort.c, 4676 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\reg_RF.cpp, 40291 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\reg_RF.h, 560 , 2020-04-03
randomforest-matlab\RF_Reg_C\test_RegRF_extensively.m, 1364 , 2020-04-03
randomforest-matlab\RF_Reg_C\tutorial_RegRF.m, 9505 , 2020-04-03
randomforest-matlab\RF_Reg_C\Version_History.txt, 253 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\data, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\src, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\tempbuild, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C\data, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C\src, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C\tempbuild, 0 , 2020-04-03
randomforest-matlab\RF_Class_C, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C, 0 , 2020-04-03
randomforest-matlab, 0 , 2020-04-03

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发表评论

0 个回复

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    积分：1
  • voicebox
    用matlab编写的小波去噪程序，其中还包括自编的阈值去噪程序。是改进过的。(Two-dimensional wavelet denoising procedure using matlab，Which also includes the self threshold denoising procedure ，improved！)
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    光纤通信的书，里面有基于matlab的通信仿真(Optical fiber communication book, which has matlab-based communication simulation)
    2013-07-13 09:35:20下载
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  • gaojieqiyizhi
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