minimum distance classifier matlab code
Darwin Crooks-Collier
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nLabels == classes(i), :)); end % Compute distances between all test points and each centroid distances = pdist2(testData, centroids, 'euclidean'); % Assign labels based on minimum distance [~, minIdx] = min(distances, [], 2); predictedLabels = classes(minIdx); disp('Predicted labels for test data
