Moving course1 to course1 subdir.

machine_learning/course1/mlclass-ex7-008/mlclass-ex7/findClosestCentroids.m

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+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);
+
+% 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:size(X,1),
+	idx(i) = -1;
+	mn=1.e100;
+	for k=1:K,
+		n=norm(centroids(k,:)-X(i,:));
+		if ( n < mn )
+			idx(i) = k;
+			mn = n;
+		end
+	end
+end
+
+
+
+
+
+
+% =============================================================
+
+end
+