登录
首页 » matlab » tree

tree

于 2020-11-03 发布
0 265
下载积分: 1 下载次数: 20

代码说明:

说明:  决策树 随机森林 解决分类和回归问题 并且可以进行特征提取 特征选择(Decision tree Random forest solves classification and regression problems and can perform feature extraction feature selection)

文件列表:

DecisionTrees, 0 , 2019-12-31
DecisionTrees\data.mat, 86267 , 2009-11-29
DecisionTrees\html, 0 , 2019-12-31
DecisionTrees\html\main.html, 16031 , 2015-10-17
DecisionTrees\html\main.png, 3675 , 2015-10-17
DecisionTrees\html\main_01.png, 39119 , 2015-10-17
DecisionTrees\html\main_02.png, 5341 , 2015-10-17
DecisionTrees\html\main_03.png, 29181 , 2015-10-17
DecisionTrees\html\main_04.png, 33141 , 2015-10-17
DecisionTrees\main.m, 2721 , 2015-10-17
RandomForest, 0 , 2019-12-31
RandomForest\RF_MexStandalone-v0.02.zip, 341091 , 2013-01-30
RandomForest\data.mat, 86267 , 2009-11-29
RandomForest\html, 0 , 2019-12-31
RandomForest\html\main.html, 16143 , 2015-10-17
RandomForest\html\main.png, 2407 , 2015-10-17
RandomForest\html\main_01.png, 8813 , 2015-10-17
RandomForest\html\main_02.png, 5388 , 2015-10-17
RandomForest\main.m, 2591 , 2015-10-17
RandomForest\randomforest-matlab, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\Makefile, 2693 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\README.txt, 3128 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\Version_History.txt, 1311 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\compile_windows.m, 1589 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\data, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2015-10-17
RandomForest\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 43520 , 2015-10-17
RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2020-01-04
RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\src, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2009-04-25
RandomForest\randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\tempbuild, 0 , 2020-01-04
RandomForest\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2009-05-17
RandomForest\randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\README.txt, 2623 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\Version_History.txt, 253 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\compile_windows.m, 801 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\data, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\src, 0 , 2019-12-31
RandomForest\randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_predict.cpp, 3864 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\src\mex_regressionRF_train.cpp, 12391 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\src\qsort.c, 4676 , 2009-04-25
RandomForest\randomforest-matlab\RF_Reg_C\src\reg_RF.cpp, 40291 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\src\reg_RF.h, 560 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\tempbuild, 0 , 2020-01-04
RandomForest\randomforest-matlab\RF_Reg_C\test_RegRF_extensively.m, 1364 , 2009-05-17
RandomForest\randomforest-matlab\RF_Reg_C\tutorial_RegRF.m, 9505 , 2009-05-17

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

  • MATLAB-Curve-Fitting
    说明:  给予神经网络RB发的MATLAB曲线拟合(Issued to give MATLAB neural network curve fitting RB)
    2011-04-12 11:24:43下载
    积分:1
  • dtmf
    老师要求的实验作业,matlab上实现了dtmf。添加了gui界面(dtmf gui)
    2012-01-15 14:00:43下载
    积分:1
  • BP_PID
    说明:  神经网络pid的模型仿真建立,可以有效的控制参数(The model simulation of neural network PID can effectively control parameters)
    2020-05-28 20:28:49下载
    积分:1
  • QR_MATLAB
    QR 分解 (包括Householer, Givens, 经典Gram Schmidt, 修正的GS methods)(QR factorization including Householer, Givens, CGS, MGS)
    2012-10-06 16:05:06下载
    积分:1
  • leach
    leach code for wireless sensor network
    2015-02-06 12:12:12下载
    积分:1
  • nmealineread
    matlab檔案,用於讀取nmea檔案,將NMEA檔案輸出成一個Class架構值(read and parsing NMEA file)
    2014-02-21 10:21:42下载
    积分:1
  • bnb
    matlab 实现的整数规划工具箱,用起来挺方便的(Matlab achieve the integer programming toolbox, together with quite convenient)
    2007-03-01 14:00:34下载
    积分:1
  • kvm_mips_dyntrans
    KVM MIPS: Binary Patching for privileged instructions, reduces traps.
    2014-10-17 10:49:50下载
    积分:1
  • MRTD2D_TE_DB_FDTD
    基于FDTD与PML的连接边界条件的2维MRTD电磁正演散射模型。(Based on FDTD and PML connection boundary conditions is performed 2-D MRTD electromagnetic scattering model.)
    2011-10-28 10:31:14下载
    积分:1
  • testBPSKVB
    仿真BPSK调制在AWGN信道下分别使用卷积码和不使用卷积码的性能(Simulation BPSK modulation in AWGN channel respectively convolutional code and a convolutional code performance without)
    2013-10-25 11:16:05下载
    积分:1
  • 696516资源总数
  • 106425会员总数
  • 12今日下载