随机森类分类

上传者: youkeyiyi | 上传时间: 2021-09-06 15:46:50 | 文件大小: 324KB | 文件类型: RAR
本程序利用matlab能成功实现随机森林分类

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</span>","children":null,"spread":false},{"title":"src","children":[{"title":"cokus.cpp <span style='color:#111;'> 7.50KB </span>","children":null,"spread":false},{"title":"mex_ClassificationRF_train.cpp <span style='color:#111;'> 8.34KB </span>","children":null,"spread":false},{"title":"classRF.cpp <span style='color:#111;'> 33.09KB </span>","children":null,"spread":false},{"title":"mex_ClassificationRF_predict.cpp <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"qsort.c <span style='color:#111;'> 4.57KB </span>","children":null,"spread":false},{"title":"rfsub.f <span style='color:#111;'> 15.48KB </span>","children":null,"spread":false},{"title":"twonorm_C_wrapper.cpp <span style='color:#111;'> 9.63KB </span>","children":null,"spread":false},{"title":"cokus_test.cpp <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"classTree.cpp <span style='color:#111;'> 8.74KB </span>","children":null,"spread":false},{"title":"rf.h <span style='color:#111;'> 5.06KB </span>","children":null,"spread":false},{"title":"rfutils.cpp <span style='color:#111;'> 9.38KB </span>","children":null,"spread":false}],"spread":false},{"title":"tempbuild","children":null,"spread":false},{"title":"twonorm_C_devcpp.dev <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"test_ClassRF_extensively.m <span style='color:#111;'> 604B </span>","children":null,"spread":false},{"title":"rfsub.o <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"Makefile.windows <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"classRF_train.asv <span style='color:#111;'> 14.53KB </span>","children":null,"spread":false},{"title":"precompiled_rfsub","children":[{"title":"linux64","children":null,"spread":false},{"title":"win32","children":[{"title":"rfsub.o <span style='color:#111;'> 6.69KB </span>","children":null,"spread":false}],"spread":false},{"title":"win64","children":[{"title":"rfsub.o <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"classRF_predict.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"Compile_Check <span style='color:#111;'> 856B </span>","children":null,"spread":false},{"title":"compile_linux.m <span style='color:#111;'> 557B </span>","children":null,"spread":false},{"title":"compile_windows.m <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false}],"spread":false},{"title":"RF_Reg_C","children":[{"title":"README.txt <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"Version_History.txt <span style='color:#111;'> 253B </span>","children":null,"spread":false},{"title":"data","children":[{"title":"X_diabetes.txt <span style='color:#111;'> 108.34KB </span>","children":null,"spread":false},{"title":"diabetes.mat <span style='color:#111;'> 259.44KB </span>","children":null,"spread":false},{"title":"Y_diabetes.txt <span style='color:#111;'> 11.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"Compile_Check_memcheck <span style='color:#111;'> 623B </span>","children":null,"spread":false},{"title":"Compile_Check_kcachegrind <span style='color:#111;'> 611B </span>","children":null,"spread":false},{"title":"test_RegRF_extensively.m <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"src","children":[{"title":"cokus.cpp <span style='color:#111;'> 7.50KB </span>","children":null,"spread":false},{"title":"qsort.c <span style='color:#111;'> 4.57KB </span>","children":null,"spread":false},{"title":"mex_regressionRF_train.cpp <span style='color:#111;'> 12.10KB </span>","children":null,"spread":false},{"title":"mex_regressionRF_predict.cpp <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"cokus_test.cpp <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"reg_RF.h <span style='color:#111;'> 560B </span>","children":null,"spread":false},{"title":"diabetes_C_wrapper.cpp <span style='color:#111;'> 11.40KB </span>","children":null,"spread":false},{"title":"reg_RF.cpp <span style='color:#111;'> 39.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"regRF_train.m <span style='color:#111;'> 12.56KB </span>","children":null,"spread":false},{"title":"tempbuild","children":null,"spread":false},{"title":"tutorial_RegRF.m <span style='color:#111;'> 9.28KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"diabetes_C_devc.dev <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"regRF_predict.m <span style='color:#111;'> 986B </span>","children":null,"spread":false},{"title":"compile_linux.m <span style='color:#111;'> 952B </span>","children":null,"spread":false},{"title":"compile_windows.m <span style='color:#111;'> 801B </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]

评论信息

  • jiandanjinxin :
    找了好久了,还需要修改一下,呵呵
    2013-10-23
  • u012162407 :
    挺不错的,对我帮助很大,感谢楼主的分享
    2013-10-01
  • gz455467678 :
    感谢楼主分享 分享是很good的行为
    2013-08-22
  • liutudengv :
    同上,加点自己的操作在里面
    2013-01-18
  • luofeng_1 :
    这个才是不错的东西,如果能加一点自己的步骤里面,这样对生手是一个很快的入门,不然还不知道怎么用这个包呢。
    2011-11-23

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