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Consider changing cost_function_core to scipy.spatial.distance.pdist

pdist offers many distance computations that are error free out of the box and will be faster (C implementation) than iris. The only downside is that normalizations and adjustments will have to be performed on the truth and guess arrays instead of their difference. Since the truth adjustment can be preprocessing, it should take some ms or us and be insignificant to the total execution time.

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