Description: C++ implementation of decision tree model, to form a random forest is used to establish the random forest classifier for data classification and image classification, the code is simple test sample
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random forest\Debug\random forest.exe
.............\.....\random forest.ilk
.............\.....\random forest.pdb
.............\makefile
.............\random forest\chess_test
.............\.............\chess_train
.............\.............\Debug\BuildLog.htm
.............\.............\.....\mt.dep
.............\.............\.....\random forest.exe.intermediate.manifest
.............\.............\.....\random_forest.obj
.............\.............\.....\vc90.idb
.............\.............\.....\vc90.pdb
.............\.............\led24_test
.............\.............\led24_train
.............\.............\random forest.vcproj
.............\.............\random forest.vcproj.HP98402794308.Administrator.user
.............\.............\random_forest.cpp
.............\.............\random_forest.h
.............\random forest.ncb
.............\random forest.sln
.............\random forest.suo
.............\.............\Debug
.............\Debug
.............\random forest
random forest
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