Changeset 81
- Timestamp:
- 08/12/13 14:08:54 (11 years ago)
- Location:
- prdatasets
- Files:
-
- 1 added
- 38 edited
Legend:
- Unmodified
- Added
- Removed
-
prdatasets
-
Property
svn:ignore
set to
*.dat
glass.mat
-
Property
svn:ignore
set to
-
prdatasets/arrhythmia.m
r80 r81 43 43 44 44 a = load('arrhythmia.dat'); 45 x = pr dataset(a(:,1:(end-1)),a(:,end));45 x = pr_dataset(a(:,1:(end-1)),a(:,end)); 46 46 x = setfeatlab(x,fl); 47 47 x = setname(x,'Arrhythmia normal'); -
prdatasets/auto_mpg.m
r80 r81 17 17 18 18 prdatasets(mfilename,1); 19 a = pr dataset('auto_mpg');19 a = pr_dataset('auto_mpg'); 20 20 a = setname(a,'Car/miles-per-gallon'); 21 21 -
prdatasets/biomed.m
r80 r81 30 30 31 31 a = load('biomed.dat'); 32 x = pr dataset(a(:,[3 5 6 7 8]),cl(a(:,end)));32 x = pr_dataset(a(:,[3 5 6 7 8]),cl(a(:,end))); 33 33 x = setfeatlab(x,fl); 34 34 x = setname(x,'Biomed'); -
prdatasets/breast.m
r80 r81 33 33 a(J) = NaN; 34 34 nlab = a(:,end)/2; % the labels for the classes are (2,4), very strange 35 x = pr dataset(a(:,2:(end-1)), cl(nlab) );35 x = pr_dataset(a(:,2:(end-1)), cl(nlab) ); 36 36 x = setfeatlab(x,fl); 37 37 x = setname(x,'Breast Wisconsin'); -
prdatasets/car.m
r80 r81 22 22 featdom{i} = strvcat(strvals{i}'); 23 23 end 24 x = pr dataset(a(:,1:(end-1)), labs);24 x = pr_dataset(a(:,1:(end-1)), labs); 25 25 x = setfeatlab(x,fl); 26 26 x = setfeatdom(x,featdom); -
prdatasets/cbands.m
r80 r81 16 16 17 17 prdatasets(mfilename,1); 18 a = pr dataset('cbands');18 a = pr_dataset('cbands'); 19 19 a = setname(a,'Chromosome Bands'); -
prdatasets/chromo.m
r80 r81 13 13 14 14 prdatasets(mfilename,1); 15 a = pr dataset('chromo');15 a = pr_dataset('chromo'); 16 16 a = setname(a,'Chromosome Features'); -
prdatasets/diabetes.m
r80 r81 19 19 20 20 a = load('diabetes.dat'); 21 x = pr dataset(a(:,1:(end-1)),cl(a(:,end)+1));21 x = pr_dataset(a(:,1:(end-1)),cl(a(:,end)+1)); 22 22 x = setfeatlab(x,fl); 23 23 x = setname(x,'Diabetes'); -
prdatasets/ecoli.m
r80 r81 19 19 20 20 a = load('ecoli.dat'); 21 x = pr dataset(a(:,1:(end-1)),cl(a(:,end)));21 x = pr_dataset(a(:,1:(end-1)),cl(a(:,end))); 22 22 x = setfeatlab(x,fl); 23 23 x = setname(x,'Ecoli'); -
prdatasets/emim.m
r80 r81 30 30 name = ['emim' num2str(n)]; 31 31 prdatasets(mfilename,1,['http://prtools.org/prdatasets/' name '.mat']); 32 a = pr dataset(name);32 a = pr_dataset(name); 33 33 a = setname(a,['EM' num2str(n) ' Image Delft']); 34 34 -
prdatasets/glass.m
r80 r81 23 23 24 24 prdatasets(mfilename,1); 25 a = pr dataset('glass');25 a = pr_dataset('glass'); 26 26 a = setname(a,'Glass Identification Dataset'); 27 27 a = setlablist(a,str2mat('BuildingFloat','BuildingNonFloat','Car','Other')); -
prdatasets/heart.m
r80 r81 27 27 a = load('heart.dat'); 28 28 lab = (a(:,end)>0); 29 x = pr dataset(a(:,1:(end-1)),cl(lab+1));29 x = pr_dataset(a(:,1:(end-1)),cl(lab+1)); 30 30 x = setfeatlab(x,fl); 31 31 x = setname(x,'Heart Cleveland'); -
prdatasets/hepatitis.m
r80 r81 27 27 28 28 a = load('hepatitis.dat'); 29 x = pr dataset(a(:,2:end),cl(a(:,1)));29 x = pr_dataset(a(:,2:end),cl(a(:,1))); 30 30 x = setfeatlab(x,fl); 31 31 x = setname(x,'Hepatitis'); -
prdatasets/imox.m
r80 r81 17 17 18 18 prdatasets(mfilename,1); 19 a = pr dataset('imox');19 a = pr_dataset('imox'); 20 20 a = setname(a,'IMOX Dataset'); 21 21 a = setlablist(a,str2mat('I','M','O','X')); -
prdatasets/ionosphere.m
r80 r81 20 20 % the stats toolbox has a ionosphere.mat file too, avoid it 21 21 pp = fileparts(which(mfilename)); 22 a = pr dataset(fullfile(pp,'ionosphere'));22 a = pr_dataset(fullfile(pp,'ionosphere')); 23 23 a = setname(a,'Ionosphere Dataset'); 24 24 a = setlablist(a,{'good','bad'}); -
prdatasets/iris.m
r80 r81 16 16 pp = fileparts(which(mfilename)); 17 17 a = load(fullfile(pp,'iris.dat')); 18 x = pr dataset(a(:,1:(end-1)), cl(a(:,end)));18 x = pr_dataset(a(:,1:(end-1)), cl(a(:,end))); 19 19 x = setfeatlab(x,fl); 20 20 x = setuser(x,user); -
prdatasets/kimia.m
r80 r81 21 21 'car' 'children' 'van' 'elephant' 'head' 'fork' 'fountain' ... 22 22 'hammer' 'key' 'ray' 'turtle'}; 23 a = pr dataset('kimia');23 a = pr_dataset('kimia'); 24 24 a = setlablist(a,labs); 25 25 a = setname(a,'Kimia Dataset'); -
prdatasets/lena.m
r80 r81 16 16 prdatasets(mfilename,2); 17 17 s = warning; 18 a = pr dataset('lena');18 a = pr_dataset('lena'); 19 19 a = setfeatlab(a,['red ';'green';'blue ']); 20 20 a = setname(a,'Lena'); -
prdatasets/liver.m
r80 r81 16 16 17 17 prdatasets(mfilename,1); 18 a = pr dataset('liver');18 a = pr_dataset('liver'); 19 19 a = setname(a,'Liver disorder dataset'); 20 20 -
prdatasets/malaysia.m
r80 r81 15 15 16 16 prdatasets(mfilename,1); 17 a = pr dataset('malaysia');17 a = pr_dataset('malaysia'); 18 18 a = setname(a,'Malaysia Data'); -
prdatasets/mfeat_fac.m
r80 r81 15 15 16 16 prdatasets(mfilename,1); 17 a = pr dataset('mfeat_fac');17 a = pr_dataset('mfeat_fac'); 18 18 a = setname(a,'MFEAT Face Features'); -
prdatasets/mfeat_fou.m
r80 r81 14 14 15 15 prdatasets(mfilename,1); 16 a = pr dataset('mfeat_fou');16 a = pr_dataset('mfeat_fou'); 17 17 a = setname(a,'MFEAT Fourier Features'); -
prdatasets/mfeat_kar.m
r80 r81 14 14 15 15 prdatasets(mfilename,1); 16 a = pr dataset('mfeat_kar');16 a = pr_dataset('mfeat_kar'); 17 17 a = setname(a,'MFEAT KL Features'); -
prdatasets/mfeat_mor.m
r80 r81 14 14 15 15 prdatasets(mfilename,1); 16 a = pr dataset('mfeat_mor');16 a = pr_dataset('mfeat_mor'); 17 17 a = setname(a,'MFEAT Morphological Features'); -
prdatasets/mfeat_pix.m
r80 r81 15 15 16 16 prdatasets(mfilename,1); 17 a = pr dataset('mfeat_pix');17 a = pr_dataset('mfeat_pix'); 18 18 a = setname(a,'MFEAT Pixel Features'); -
prdatasets/mfeat_zer.m
r80 r81 14 14 15 15 prdatasets(mfilename,1); 16 a = pr dataset('mfeat_zer');16 a = pr_dataset('mfeat_zer'); 17 17 a = setname(a,'MFEAT Zernike Moments'); -
prdatasets/nist16.m
r80 r81 15 15 16 16 prdatasets(mfilename,1); 17 a = pr dataset('nist16');17 a = pr_dataset('nist16'); 18 18 a = setname(a,'NIST16 Normalised Digits'); 19 19 -
prdatasets/ringnorm.m
r80 r81 20 20 21 21 prdatasets(mfilename,1); 22 a = pr dataset('ringnorm');22 a = pr_dataset('ringnorm'); 23 23 a = setname(a,'Ringnorm Data'); 24 24 -
prdatasets/satellite.m
r80 r81 18 18 19 19 prdatasets(mfilename,1); 20 a = pr dataset('satellite');20 a = pr_dataset('satellite'); 21 21 a = setname(a,'Satellite dataset'); -
prdatasets/sonar.m
r80 r81 16 16 a = load('sonar.dat'); 17 17 18 x = pr dataset(a(:,1:(end-1)),cl(a(:,end)));18 x = pr_dataset(a(:,1:(end-1)),cl(a(:,end))); 19 19 x = setname(x,'Sonar'); 20 20 x = setuser(x,user); -
prdatasets/soybean1.m
r80 r81 15 15 16 16 prdatasets(mfilename,1); 17 a = pr dataset('soybean1');17 a = pr_dataset('soybean1'); 18 18 a = setname(a,'Large soybean dataset'); 19 19 a = setlablist(a,str2mat(... -
prdatasets/soybean2.m
r80 r81 15 15 16 16 prdatasets(mfilename,1); 17 a = pr dataset('soybean2');17 a = pr_dataset('soybean2'); 18 18 a = setname(a,'Small soybean dataset'); 19 19 a = setlablist(a,str2mat(... -
prdatasets/texturel.m
r80 r81 22 22 23 23 prdatasets(mfilename,4); 24 a = pr dataset('texturel');24 a = pr_dataset('texturel'); 25 25 a = setname(a,'Texture Learning Set'); -
prdatasets/texturet.m
r80 r81 22 22 23 23 prdatasets(mfilename,4); 24 a = pr dataset('texturet');24 a = pr_dataset('texturet'); 25 25 a = setname(a,'Texture Test Set'); -
prdatasets/twonorm.m
r80 r81 20 20 21 21 prdatasets(mfilename,1); 22 a = pr dataset('twonorm');22 a = pr_dataset('twonorm'); 23 23 a = setname(a,'Twonorm Data'); 24 24 -
prdatasets/wine.m
r80 r81 19 19 20 20 a = load('wine.dat'); 21 a = pr dataset(a(:,2:end),a(:,1));21 a = pr_dataset(a(:,2:end),a(:,1)); 22 22 a = setname(a,'Wine recognition data'); 23 23 a = setlablist(a,str2mat('cultivar 1','cultivar 2','cultivar 3')); -
prdatasets/x80.m
r80 r81 25 25 26 26 prdatasets('80x',1); 27 a = pr dataset('80x');27 a = pr_dataset('80x'); 28 28 a = setname(a,'80X Dataset'); 29 29 a = setlablist(a,str2mat('8','0','X'));
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