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SVM classification for healthy a
segmented_features=sFeat; %Feature reduction using PCA [coeff,G,latent]=pca(segmented_features); %score==G mxn %traindata xd...
6년 초과 전 | 답변 수: 0 | 0
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Save as separate file with separate name in txt
ds=dataset(‘xlsfile’,’prov.xlsx’); f1=ds.rem(1:451); f2=ds.name(1:451); for i=1:451 if f1(i)==1 %name ...
6년 초과 전 | 답변 수: 1 | 0
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I have an error with training SVM in Matlab. is there anyone can help me?
clear all clc ds=dataset('xlsfile','AD.xlsx'); feat1=ds.beta2L(1:100); feat=ds.beta2T(1:100); segmented_features = cell(1,3...
거의 7년 전 | 답변 수: 0 | 0
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How I can have the volume of a DICOM image
dose this line of this code is correct to heve the sum of all voxels in image? if(exist('filename','var')==0) [filenam...
7년 초과 전 | 답변 수: 0 | 0
