euclid.m

来自「kmeans clustering in matlab」· M 代码 · 共 22 行

function [z] = euclid(A,x)
% EUCLID: [z] = euclid(A,x)
%
% Return a vector containing the Euclidean distance between
% the 1 x d vector x, and each column in the N x d matrix A.
% 
% 


[k n] = size(A);

tmp = ones(k,1)*x;
size(tmp);

if(n>1)
  y =  sum( ((A-tmp).*(A-tmp))' ) ;
else
  y = ((A-tmp).*(A-tmp))';
end
  z = sqrt(y)';