Investigate if there is a 'best' way to convert similarity to distance for our similarity metrics

[benvanwerkhoven]

I've briefly tried a couple of different ways to convert our similarity metrics to distance metrics. The reason that we need this is because most Python libraries for clustering expect a distance matrix rather than a similarity matrix. I would be great if someone could investigate why and how certain conversions work better than others and which one is best for each metric. This is currently implemented in the function convert_similarity_to_distance() within camera_identification.py