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The tricky bit in the experiments (so far) is finding the range of valid signatures that do represent a useful comparator. Some long experiments have been run which combine useful ones with highly noisy ones, leading to poor results which necessitate some redesign and learning of parameter value to set next time. Unlike geodesic distances, herein all distances are highly sensitive and need to be properly adjusted.
