• Nov 21, 2025 minimum distance classifier matlab code 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 By Darwin Crooks-Collier
