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Transforming images plays a big role in Machine Learning and eigentheory and "change of basis" are used in algorithms in image processing on pixel coordinates transformed into new coordinates. What is the difference between "similar" and "equivalent" matrices of transformation? (Or please ask any question related to this weeks material)