文件名稱: 20170106RF_Matlab下載? 收藏√? [

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開發工具: matlab

文件大小: 441 KB

上傳時間: 2017-01-06

下載次數: 0

提 供 者: yanxiu

詳細說明：隨機森林指的是利用多棵樹對樣本進行訓練并預測的一種分類器，包括兩個方面：數據的隨機性選取，以及待選特征的隨機選取。-Random forest refers to the use of more than one tree to sample the training and prediction of a classifier, including two aspects: random selection of data, as well as the characteristics of random selection.

文件列表(點擊判斷是否您需要的文件，如果是垃圾請在下面評價投訴):

20170106RF_Matlab

.................\README_Windows_binary.txt

.................\randomforest-matlab

.................\...................\RF_Class_C

.................\...................\..........\Compile_Check

.................\...................\..........\Makefile

.................\...................\..........\Makefile.windows

.................\...................\..........\README.txt

.................\...................\..........\Version_History.txt

.................\...................\..........\classRF_predict.m

.................\...................\..........\classRF_train.m

.................\...................\..........\compile_linux.m

.................\...................\..........\compile_windows.m

.................\...................\..........\data

.................\...................\..........\....\X_twonorm.txt

.................\...................\..........\....\Y_twonorm.txt

.................\...................\..........\....\twonorm.mat

.................\...................\..........\mexClassRF_predict.mexw32

.................\...................\..........\mexClassRF_predict.mexw64

.................\...................\..........\mexClassRF_train.mexw32

.................\...................\..........\mexClassRF_train.mexw64

.................\...................\..........\precompiled_rfsub

.................\...................\..........\.................\linux64

.................\...................\..........\.................\win32

.................\...................\..........\.................\.....\rfsub.o

.................\...................\..........\.................\win64

.................\...................\..........\.................\.....\rfsub.o

.................\...................\..........\rfsub.o

.................\...................\..........\src

.................\...................\..........\...\classRF.cpp

.................\...................\..........\...\classTree.cpp

.................\...................\..........\...\cokus.cpp

.................\...................\..........\...\cokus_test.cpp

.................\...................\..........\...\mex_ClassificationRF_predict.cpp

.................\...................\..........\...\mex_ClassificationRF_train.cpp

.................\...................\..........\...\qsort.c

.................\...................\..........\...\rf.h

.................\...................\..........\...\rfsub.f

.................\...................\..........\...\rfutils.cpp

.................\...................\..........\...\twonorm_C_wrapper.cpp

.................\...................\..........\tempbuild

.................\...................\..........\test_ClassRF_extensively.m

.................\...................\..........\tutorial_ClassRF.m

.................\...................\..........\twonorm_C_devcpp.dev

.................\...................\RF_Reg_C

.................\...................\........\Compile_Check_kcachegrind

.................\...................\........\Compile_Check_memcheck

.................\...................\........\Makefile

.................\...................\........\README.txt

.................\...................\........\Version_History.txt

.................\...................\........\compile_linux.m

.................\...................\........\compile_windows.m

.................\...................\........\data

.................\...................\........\....\X_diabetes.txt

.................\...................\........\....\Y_diabetes.txt

.................\...................\........\....\diabetes.mat

.................\...................\........\diabetes_C_devc.dev

.................\...................\........\mexRF_predict.mexw32

.................\...................\........\mexRF_predict.mexw64

.................\...................\........\mexRF_train.mexw32

.................\...................\........\mexRF_train.mexw64

.................\...................\........\regRF_predict.m

.................\...................\........\regRF_train.m

.................\...................\........\src

.................\...................\........\...\cokus.cpp

.................\...................\........\...\cokus_test.cpp

.................\...................\........\...\diabetes_C_wrapper.cpp

.................\...................\........\...\mex_regressionRF_predict.cpp

.................\...................\........\...\mex_regressionRF_train.cpp

.................\...................\........\...\qsort.c

.................\...................\........\...\reg_RF.cpp

.................\...................\........\...\reg_RF.h

.................\...................\........\tempbuild

.................\...................\........\test_RegRF_extensively.m

.................\...................\........\tutorial_RegRF.m

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