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📄 gsm.m

📁 多维数据分析,有nPLS,PARAFAC,TURKER等
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function [E]=GSM(V);
%GSM orthogonalization
%
% [E]=GSM(V);
% GS   Gram-Schmidt Method for orthogonalisation
%      An orthonormal basis spanning the columns of V is returned in E.
% 
%      This algorithm does not use pivoting or any other
%      stabilization scheme. For a completely safe orthogonalization
%      you should use 'ORTH()' though is may take triple the time.
%      'GSM()' is optimized for speed and requies only minimum storage
%      during iterations. No check of rank is performed on V!
%
%      Claus Andersson, 1996, KVL

[m n]=size(V);

%Allocate space for the basis
E=zeros(m,n);

%The first basis vector is taken directly from V
s=sqrt(sum(V(:,1).^2));
E(:,1)=V(:,1)/s;

%Find the other basis vectors as orthogonals to
%the already determined basis by projection
for k=2:n,
  f=V(:,k)-E(:,1:(k-1))*(E(:,1:(k-1))'*V(:,k));
  s=sqrt(sum(f.^2));
  if s<eps,
    E(:,k)=0*f;   %set to zeros
  else
    E(:,k)=f/s;   %normalize
  end;
end;

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