多个随机森林的matlab代码 含有

采用随机森林做为分类器 方法简单 可移植性强 可用于信号分类 图像分类 语音分类等多个分类领域 里面有例子方便看懂代码 亲测有效

load fisheriris;
[MN]=size（meas）;
m=90; % the number of sample
N=40; % the number of trees
meas1=[meas（1:30:）;meas（51:80:）;meas（101:130:）];
species1=[species（1:30）;species（51:80）;species（101:130）];
meas2=[meas（31:50:）;meas（81:100:）;meas（131:150:）];
species2=[species（31:50）;species（81:100）;species（131:150）];
t=cell（1N）;
for i=1:N
    for j=1:m
        r（j）=randi（m1）;
        if j==1
             sample=meas1（r（j）:）;
             sample_species=species1（r（j））;
        else
             sample=[sample;meas1（r（j）:）];
             sample_species=[sample_species;species1（r（j））];
        end
    end
    t{i} = classregtree（samplesample_species）;
end
for i=1:M-m
    for j=1:N
         result（ij）=eval（t{j}meas2（i:））;
    end
end
for i=1:M-m
    sum（i1:3）=0;
    for j=1:N
        if strcmp（result{ij}‘setosa‘）;
            sum（i1）=sum（i1）+1;
        else if strcmp（result{ij}‘versicolor‘）;
            sum（i2）=sum（i2）+1;
        else strcmp（result{ij}‘virginial‘）;
            sum（i3）=sum（i3）+1;
        end
    end
    end
end
result_class=cell（M-m1）;
for i=1:M-m
    index=find（sum（i:）==max（sum（i:）））;
    if index==1
        result_class{i}=‘setosa‘;
    else if index==2
            result_class{i}=‘versicolor‘;
        else
            result_class{i}=‘virginial‘;
        end
    end
        
end

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2017-09-06 10:58  random forest-matlab\
     文件     4218541  2017-09-05 15:59  random forest-matlab\aaa.mat
     文件         888  2018-01-18 22:25  random forest-matlab\rfmain.m
     文件         673  2017-09-06 10:19  random forest-matlab\statistics.m
     文件       13496  2017-12-20 19:50  random forest-matlab\train_C4_5.m
     文件        1947  2017-09-06 09:24  random forest-matlab\vote_C4_5.m
     目录           0  2018-01-09 22:51  RandomForest\
     文件      160768  2013-02-07 14:41  RandomForest\aaa.xls
     文件      146432  2013-02-07 14:41  RandomForest\bbb.xls
     文件        4570  2013-02-10 21:39  RandomForest\ID3.m
     文件         974  2017-12-26 17:49  RandomForest\RandomForest.m
     文件      176128  2018-01-09 22:51  RandomForest\result.xls
     文件        2256  2013-02-10 22:02  RandomForest\statistics.m
     文件         938  2013-02-10 21:55  RandomForest\suijisenlin.asv
     文件        1389  2019-11-23 11:10  random_forest.m
     目录           0  2019-10-22 18:00  sim_sar_img-master\
     目录           0  2019-10-22 18:00  sim_sar_img-master\chapter3\
     文件         738  2019-10-22 18:00  sim_sar_img-master\chapter3\pulse_compression_demo.m
     目录           0  2019-10-22 18:00  sim_sar_img-master\chapter5\
     文件        3530  2019-10-22 18:00  sim_sar_img-master\chapter5\single_point_target_0sq.m
     文件        4671  2019-10-22 18:00  sim_sar_img-master\chapter5\single_poin_target_nonzerosq.m
     文件         262  2019-10-22 18:00  sim_sar_img-master\README.md