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I have seen many academic papers which compare the performance of kmeans and other clustering algorithms (mainly population based) with respect to the mean square quantization error (MSE). Kmeans minimizes the distortion function, and not the MSE function, therefore when the MSE is plotted for kmeans the curve can go up also. Is it the right way of comparing other algorithms with kmeans? Or some common cluster quality metric shall be used? |
