将mat格式中加标签的数据分为：训练集、验证集、测试集

<span style="font-size:18px;">分出来的三个集合可能存在交集。</span>

%%将一部分MontData 放入到OhmData里面
clear all;close all;clc;
load Mont_data;
kk1=randperm(size(train,1),2000);
kk2=randperm(size(train,1),4000);
kk3=randperm(size(train,1),5000);
TempMontData1=train(kk1);
TempMontLabel1=label(kk1);
TempMontData2=train(kk2);
TempMontLabel2=label(kk2);
TempMontData3=train(kk3);
TempMontLabel3=label(kk3);
clear X_Mont;

%load Ohm_data;
X_Ohm1=TempMontData1;
label_Ohm1=TempMontLabel1;
save Ohm_data_C1 X_Ohm1 label_Ohm1;
%clear X_Ohm label_Ohm;

%load Ohm_data;
X_Ohm2=TempMontData2;
label_Ohm2=TempMontLabel2;
save Ohm_data_C2 X_Ohm2 label_Ohm2;
%clear X_Ohm label_Ohm;

%load Ohm_data;
X_Ohm3=TempMontData3;
label_Ohm3=TempMontLabel3;
save Ohm_data_C3 X_Ohm3 label_Ohm3;
%clear X_Ohm label_Ohm;

</pre><pre code_snippet_id="1696435" snippet_file_name="blog_20160525_1_5495483" name="code" class="plain">

<span style="font-size:18px;">分出的三个集合，完全没有交集的代码如下:</span>

<span style="font-size:18px;"></span><pre name="code" class="plain">%%将一部分MontData 放入到OhmData里面
clear all;close all;clc;
load Mont_data;
% 将训练库中的所有数据打乱顺序。
kk = randperm(size(train,1), 10000);
train = train(kk);
label = label(kk);
%kk1=randperm(size(train,1), 2000);
%kk2=randperm(size(train,1), 2000);
%kk3=randperm(size(train,1), 6000);
% 使得训练、验证、和测试没有交集。
TempMontData1=train(1:2000,1);
TempMontLabel1=label(1:2000,1);
TempMontData2=train(2001:4000,1);
TempMontLabel2=label(2001:4000,1);
TempMontData3=train(4001:10000,1);
TempMontLabel3=label(4001:10000,1);
clear X_Mont;

%load Ohm_data;
X_Ohm1=TempMontData1;
label_Ohm1=TempMontLabel1;
save Ohm_data_C1 X_Ohm1 label_Ohm1;
%clear X_Ohm label_Ohm;

%load Ohm_data;
X_Ohm2=TempMontData2;
label_Ohm2=TempMontLabel2;
save Ohm_data_C2 X_Ohm2 label_Ohm2;
%clear X_Ohm label_Ohm;

%load Ohm_data;
X_Ohm3=TempMontData3;
label_Ohm3=TempMontLabel3;
save Ohm_data_C3 X_Ohm3 label_Ohm3;
%clear X_Ohm label_Ohm;