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inputdatasetXD.m
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inputdatasetXD.m
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% 编号 数据集名称 类别数 样本数 特征数
% 1 breast 2 683 10
% 2 sonar 2 208 60
% 3 musk1 2 476 166
% 4 musk2 2 6598 166
% 5 image 2 6500 18
% 6 HVwithnoise 2 1212 100 Hill_Valley_with_noise_full
% 7 titanic 2 750 3
% 8 Spectf 2 267 44
% 9 splice 2 5000 60
% 10 dna 2 3186 180
% 11 magic 2 19020 10
% 12 Ionosphere 2 351 34
% 13 german 2 1000 24
% 14 svmguide3 2 1243 22
% 15 protein 2 17766 357
% 16 madelon_train 2 2000 500
% 17 banana 2 5300 2
% 18 ecoli1 2 336 7
% 19 ecoli2 2 336 7
% 20 ecoli3 2 336 7
% 21 magic 2 19020 10
% 22 spambase 2 4601 57
% 23 vehicle1 2 846 18
% 24 vehicle2 2 846 18
% 25 vehicle3 2 846 18
% 26 wisconsin 2 683 9
% 27 wine 3 178 13
% 28 wdbc 2 569 30
% 29 australian 2 690 14
% 30 hepatitis 2 155 19
% 31 Arrhythmia 13 452 279
% 32 Colon 2 62 2000
% 33 glass 6 214 9
% 34 LSVT 2 120 309
% 35 HillValley 606 100
% 36 SCADI 70 206
% 37 Dermatology 366 34
% 38 Urban 9 168 148
% 39 Isolet5 26 1559 617
function [dataset,whether,datasetName]=inputdatasetXD(i)
%说明：函数根据输入的序号来读取相应的数据集，序号与数据集对应如上
%输入：i:所需要读取的数据集的序号
%输出：dataset: 读取的数据（样本数*属性）
% whether: 读取出的数据标签（样本数*标签）
% datasetName: 数据集的名称
switch i
case 1 % breast 683*10
load('E:\dataset\breast.mat');
dataset = full(Xtr') ;
whether = Ytr';
datasetName='breast';
case 2 % sonar 208*60
load('E:\dataset\sonar.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName = 'sonar';
case 3 % musk1 476*166
fid = fopen('E:\dataset\musk1\clean1\clean1.data','r');
juzhen=textscan(fid,'%*s%*s%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','delimiter', ',');
dataset=cell2mat(juzhen);
whether=dataset(:,size(dataset,2));
whether=whether';
dataset=dataset(:,1:size(dataset,2)-1);
dataset=dataset';
fclose(fid);
datasetName = 'musk1';
case 4 % musk2 6598*166
fid = fopen('E:\dataset\musk1\clean2\clean2.data','r');
juzhen=textscan(fid,'%*s%*s%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','delimiter', ',');
dataset=cell2mat(juzhen);
whether=dataset(:,size(dataset,2));
whether=whether';
dataset=dataset(:,1:size(dataset,2)-1);
dataset=dataset';
fclose(fid);
datasetName = 'musk2';
case 5 % image 6500*18
load('E:\dataset\image.mat');
dataset = X' ;
whether = Y';
datasetName = 'image';
case 6 % Hill_Valley_with_noise_full 1212*100
fid = fopen('E:\dataset\hillvalley\Hill_Valley_with_noise_full.data','r');
juzhen=textscan(fid,'%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','delimiter', ',');
dataset=cell2mat(juzhen);
whether=dataset(:,size(dataset,2):size(dataset,2));
dataset=dataset(:,1:size(dataset,2)-1);
dataset=dataset';
whether=whether';
fclose(fid);
datasetName = 'Hill_Valley_with_noise_full';
case 7 % titanic 750*3
load('E:\dataset\titanic.mat');
dataset = X' ;
whether = Y';
datasetName = 'titanic';
case 8 % Spectf 267*44
fid = fopen('E:\dataset\xxs\V6 Spectf.txt','r');
juzhen=textscan(fid,'%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','delimiter', ',');
dataset=cell2mat(juzhen);
whether=dataset(:,size(dataset,2));
whether=whether';
dataset=dataset(:,1:size(dataset,2)-1);
dataset=dataset';
fclose(fid);
datasetName = 'Spectf';
case 9 % splice 5000*60
load('E:\dataset\splice.mat');
dataset = X' ;
whether = Y';
datasetName = 'splice';
case 10 % dna 3186*180
load('E:\dataset\dna.mat');
dataset = instance' ;
whether = label';
datasetName = 'dna';
case 11 % magic 19020*10
% function [dataset,whether]=inputdataset()
[A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,whethertemp] =textread('E:\dataset\magic.txt','%f%f%f%f%f%f%f%f%f%f%s','delimiter', ',');
whethertemp=whethertemp';
whether=zeros(1,size(whethertemp,2));
for i=1:size(whethertemp,2)
if whethertemp{i}=='g'
whether(i)=1;
else
whether(i)=0;
end
end
dataset=[A1,A2,A3,A4,A5,A6,A7,A8,A9,A10];
dataset=dataset';
datasetName = 'magic';
% end
case 12 % Ionosphere 351*34
load('E:\dataset\ionosphere.mat');
dataset = instance' ;
whether = label';
datasetName = 'ionosphere';
case 13 % german 1000*24
load('E:\dataset\german.mat');
dataset= instance' ;
whether = label';
datasetName = 'german';
case 14 % svmguide3 1243*22
load('E:\dataset\svmguide3.mat');
dataset = instance' ;
whether = label';
datasetName = 'svmguide3';
case 15 % protein 17766*357
load('E:\dataset\protein.mat');
dataset = instance' ;
whether = label';
datasetName = 'protein';
case 16 % madelon_train 2000*500
load('E:\dataset\madelon.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName = 'madelon_train';
case 17 % banana 5300*2
load('E:\dataset\banana.mat');
dataset = A(:,1:2)' ;
whether = A(:,end)';
datasetName='banana';
case 18 % ecoli1 336*7
load('E:\dataset\ecoli1.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='ecoli1';
case 19 % ecoli2 336*7
load('E:\dataset\ecoli2.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='ecoli2';
case 20 % ecoli3 336*7
load('E:\dataset\ecoli3.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='ecoli3';
case 21 % magic 19020*10
load('E:\dataset\magic1.mat');
dataset = A(:,1:end-1)' ; %于magic有区别，但名字没有区别
whether = A(:,end)';
datasetName='magic';
case 22 % spambase 4601*57
load('E:\dataset\spambase.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)'; %spambase.old样本数为4597
datasetName='spambase';
case 23 % vehicle1 846*18
load('E:\dataset\vehicle1.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='vehicle1';
case 24 % vehicle2 846*18
load('E:\dataset\vehicle2.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='vehicle2';
case 25 % vehicle3 846*18
load('E:\dataset\vehicle3.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='vehicle3';
case 26 % wisconsin 683*9
load('E:\dataset\wisconsin.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
whether((whether==2))=0;%%负样本标签为0
whether((whether==4))=1;%%正样本标签为1
datasetName='wisconsin';
case 27 % wine 178*13
load('E:\dataset\wine.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='wine';
case 28 % wdbc 569*30
load('E:\dataset\wdbc.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='wdbc';
case 29 % australian 690*14
load('E:\dataset\australian.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='australian';
case 30 % hepatitis 155*19
load('E:\dataset\hepatitis.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='hepatitis';
case 31 % Arrhythmia 452*279
load('E:\dataset\arrhythmia.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='arrhythmia';
case 32 % Colon 62*2000
load('E:\dataset\colon.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='colon';
case 33 % glass 217*9
load('E:\dataset\glass.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='glass';
case 34 % LSVT 126*309
load('E:\dataset\LSVT.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='LSVT';
case 35 % HillValley 606*100
load('E:\dataset\hillvalley.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='HillValley';
case 36 % SCADI 70*206
load('E:\dataset\SCADI.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='SCADI';
case 37 % Dermatology 366*34
load('E:\dataset\SCADI.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='Dermatology';
case 38 % Urban 168*148
load('E:\dataset\Urban.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='Urban';
case 39 % Isolet5 1559*617
load('E:\dataset\isolet.mat');
dataset = A(:,1:end-1)' ;
whether = A(:,end)';
datasetName='Isolet5';
otherwise
error('没有与 编号%d 对应的数据集.',i);
end % switch
if size(whether, 2)~=1
dataset = dataset';
whether = whether';
end
if size(dataset,1)~= size(whether,1)
error('Error. 数据集和标签维度不一致.')
end
whether(whether==-1)=0; %对whether进行处理，把-1变为0
datasetName = cat(2,upper(datasetName(1)), lower(datasetName(2:end)));
end