findClosestCentroids.m

function idx = findClosestCentroids(X, centroids)
%FINDCLOSESTCENTROIDS computes the centroid memberships for every example
%   idx = FINDCLOSESTCENTROIDS (X, centroids) returns the closest centroids
%   in idx for a dataset X where each row is a single example. idx = m x 1 
%   vector of centroid assignments (i.e. each entry in range [1..K])
%

% Set K
K = size(centroids, 1);
m=size(X,1);
% You need to return the following variables correctly.
idx = zeros(m, 1);

% ====================== YOUR CODE HERE ======================
% Instructions: Go over every example, find its closest centroid, and store
%               the index inside idx at the appropriate location.
%               Concretely, idx(i) should contain the index of the centroid
%               closest to example i. Hence, it should be a value in the 
%               range 1..K
%
% Note: You can use a for-loop over the examples to compute this.
%

%{
for i=1:m
p=sum(abs(X(i,:)-centroids),2)
temp=find(p==min(p))
idx(i,1)=temp(1)
endfor
%}
for i=1:m
  p=sqrt(sum(power(centroids-X(i,:),2),2));
  [val,idx(i)]=min(p);
endfor



% =============================================================

end