StanfordMLOctave/machine-learning-ex7/ex7/findClosestCentroids.m

48 lines
1.3 KiB
Matlab

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 = rows(X);
% You need to return the following variables correctly.
idx = zeros(size(X,1), 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
tempX = X(i,:);
tempSums = zeros(K,1);
for j = 1:K
tempCentroid = centroids(j,:);
tempDiff = tempX - tempCentroid;
tempDiff = tempDiff.^2;
tempSums(j) = sum(tempDiff);
endfor
[minimum, temp_idx] = min(tempSums);
idx(i) = temp_idx;
endfor
% =============================================================
end