登录
首页 » matlab » 随机森林

随机森林

于 2020-07-14 发布
0 216
下载积分: 1 下载次数: 1

代码说明:

说明:  随机森林matlab工具箱,可以实现分类和回归(Randomforest Tool Box)

文件列表:

Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\compile_windows.m, 1718 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile, 2693 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32, 20992 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32, 32256 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 46080 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\README.txt, 3255 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 9112 , 2019-12-24
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\Version_History.txt, 1470 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\compile_windows.m, 915 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_predict.mexw32, 10752 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_predict.mexw64, 11264 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_train.mexw32, 25600 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\mexRF_train.mexw64, 34304 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\README.txt, 2750 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_predict.cpp, 3864 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_train.cpp, 12391 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\qsort.c, 4676 , 2009-04-25
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\reg_RF.cpp, 40291 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src\reg_RF.h, 560 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\test_RegRF_extensively.m, 1364 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\tutorial_RegRF.m, 9505 , 2009-05-17
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\Version_History.txt, 384 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\README_Windows_binary.txt, 1200 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\data, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\src, 0 , 2019-12-24
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C\tempbuild, 0 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\data, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\src, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C\tempbuild, 0 , 2010-02-06
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Class_C, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab\RF_Reg_C, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled\randomforest-matlab, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\RF_MexStandalone-v0.02-precompiled, 0 , 2018-08-20
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林\Windows-Precompiled-RF_MexStandalone-v0.02-随机森林, 0 , 2019-12-24
Windows-Precompiled-RF_MexStandalone-v0.02-随机森林, 0 , 2019-12-24

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • C
    说明:  学生信息管理系统 大三课程设计做得 非常简单 可以看看(cc)
    2010-01-05 08:42:59下载
    积分:1
  • control
    船舶回转实验,采用的是nomoto模型可以作为船舶运动控制的一个简单模型使用(The Nomoto model used in ship rotation experiment can be used as a simple model for ship motion control.)
    2020-12-16 15:59:12下载
    积分:1
  • code Pro aspnet20 xml
    code Pro aspnet20 xml
    2022-02-14 14:15:21下载
    积分:1
  • thinkinc++(书,中文,源码),初学者必备的一本好书
    thinkinc++(书,中文,源码),初学者必备的一本好书-thinkinc++ (books, Chinese, source), beginners must have a good book
    2022-04-16 18:11:26下载
    积分:1
  • 2022-05-08 21:34:57下载
    积分:1
  • MC1.7.10NBTEdit
    说明:  一个普通的小游戏,没有什么功能,就一个小游戏(An ordinary little game, no function, just a junk game)
    2020-06-19 16:20:02下载
    积分:1
  • find_useless_resources_unity
    wadwawdawad daw dwad wadadadw
    2018-03-21 07:59:21下载
    积分:1
  • UPS电源
    说明:  该资料为一款UPS电源设计资料,资料包括UPS电源原理讲解和参数计算,可以作为UPS学习的资料(This material is a UPS power supply design material, including UPS power supply principle explanation and parameter calculation, which can be used as UPS learning material)
    2021-04-02 21:25:16下载
    积分:1
  • AT89S52单片机接收北斗模块发出的数据
    说明:  AT89S52单片机接收北斗模块发出的数据(AT89S52 single chip computer receives data from Beidou module)
    2021-04-12 19:38:56下载
    积分:1
  • 新建文件夹
    说明:  用于心音信号包络的分割,信号处理的技术领域,具体的说,涉及一种心音信号周期的检测与心音的状态分割方法。其中,心音的状态分割方法是在时间维度上判断某时刻某段时长内出现的心音状态的类别。(Envelope Segmentation of Heart Sound Signals)
    2020-10-29 16:29:57下载
    积分:1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载