Variable-size superpixel averaging of 2D diffraction data reduces feature count and accelerates NMF phase mapping by over 100x with no visible change in results.
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Using superpixels for interpretable feature reduction in large 2D diffraction datasets
Variable-size superpixel averaging of 2D diffraction data reduces feature count and accelerates NMF phase mapping by over 100x with no visible change in results.