No BSD License
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ADM1(TrainSet,TrainLabel,Test...
AMD measure for iterative 2DLDA
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ADM2(TrainSet,TrainLabel,Test...
AMD measure for one-sided 2DLDA
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FeatureVector=LDA2D(X,ClassNu...
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FeatureVector=OLDA(X,ClassNum...
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FeatureVector=ULDA(X,ClassNum...
classical LDA See Pattern recognition Letter
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Fnorm1(TrainSet,TrainLabel,Te...
Frobinius measure see for iterative 2DLDA
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Fnorm2(TrainSet,TrainLabel,Te...
Frobinor measures for one-sided 2DLDA
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MiniClassfiers(TrainSet,Train...
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VM1(TrainSet,TrainLabel,TestS...
volume measure for iterative 2DLDA
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VM2(TrainSet,TrainLabel,TestS...
volume measure for one-sided 2DLDA.
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Y=GetFullRankMatrix(YY)
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[R, L]=iterative2DLDA(Trainse...
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randdatagenerate.m
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View all files
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| Y=GetFullRankMatrix(YY)
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function Y=GetFullRankMatrix(YY)
% obtain a full rank matrix of YY.
[m1,n1]=size(YY);
DD=[];
for i=1:n1
CC= YY(:,i);
DD=[DD CC];
[m2,n2]=size(DD);
t=rank(DD);
if t==n2
DD=DD;
else
DD(:,n2)=[];
end
end
Y=DD;
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