📄 disteusq.m
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function d=disteusq(x,y,mode,w)
%DISTEUSQ calculate euclidean, squared euclidean or mahanalobis distance D=(X,Y,MODE,W)
%
% Inputs: X,Y Vector sets to be compared. Each row contains a data vector.
% X and Y must have the same number of columns.
%
% MODE Character string selecting the following options:
% 'x' Calculate the full distance matrix from every row of X to every row of Y
% 'd' Calculate only the distance between corresponding rows of X and Y
% The default is 'd' if X and Y have the same number of rows otherwise 'x'.
% 's' take the square-root of the result to give the euclidean distance.
%
% W Optional weighting matrix: the distance calculated is (x-y)*W*(x-y)'
% If W is a vector, then the matrix diag(W) is used.
%
% Output: D If MODE='d' then D is a column vector with the same number of rows as the shorter of X and Y.
% If MODE='x' then D is a matrix with the same number of rows as X and the same number of columns as Y'.
%
% Copyright (C) Mike Brookes 1998
%
% Last modified Fri Jan 7 08:59:48 2000
%
% VOICEBOX is a MATLAB toolbox for speech processing. Home page is at
% http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You can obtain a copy of the GNU General Public License from
% ftp://prep.ai.mit.edu/pub/gnu/COPYING-2.0 or by writing to
% Free Software Foundation, Inc.,675 Mass Ave, Cambridge, MA 02139, USA.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[nx,p]=size(x); ny=size(y,1);
if nargin<3 | isempty(mode) mode='0'; end
if any(mode=='d') | (mode~='x' & nx==ny)
nx=min(nx,ny);
z=x(1:nx,:)-y(1:nx,:);
if nargin<4
d=sum(z.*conj(z),2);
elseif min(size(w))==1
wv=w(:).';
d=sum(z.*wv(ones(size(z,1),1),:).*conj(z),2);
else
d=sum(z*w.*conj(z),2);
end
else
if p>1
if nargin<4
z=permute(x(:,:,ones(1,ny)),[1 3 2])-permute(y(:,:,ones(1,nx)),[3 1 2]);
d=sum(z.*conj(z),3);
else
nxy=nx*ny;
z=reshape(permute(x(:,:,ones(1,ny)),[1 3 2])-permute(y(:,:,ones(1,nx)),[3 1 2]),nxy,p);
if min(size(w))==1
wv=w(:).';
d=reshape(sum(z.*wv(ones(nxy,1),:).*conj(z),2),nx,ny);
else
d=reshape(sum(z*w.*conj(z),2),nx,ny);
end
end
else
z=x(:,ones(1,ny))-y(:,ones(1,nx)).';
if nargin<4
d=z.*conj(z);
else
d=w*z.*conj(z);
end
end
end
if any(mode=='s')
d=sqrt(d);
end
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