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- % X: data matrix, each row is one observation, each column is one feature
- % D: pair-wise distance matrix
- % Copyright by Quan Wang, 2011/05/10
- % Please cite: Quan Wang. Kernel Principal Component Analysis and its
- % Applications in Face Recognition and Active Shape Models.
- % arXiv:1207.3538 [cs.CV], 2012.
- function D=distanceMatrix(X)
- N=size(X,1);
- XX=sum(X.*X,2);
- XX1=repmat(XX,1,N);
- XX2=repmat(XX',N,1);
- D=XX1+XX2-2*(X*X');
- D(D<0)=0;
- D=sqrt(D);
- %% FROM DEMO
- DIST=distanceMatrix(train_x);
- DIST(DIST==0)=inf;
- DIST=min(DIST);
- para=5*mean(DIST);
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