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Description
- Intuitive description, of what these metrics try to measure, and how, and for what they are used
- Thorough description of the metric in supplementary
- Common variants and hyper parameters choices
- Scaling with dimensionality
- Scaling with number of samples
- Computational complexity
- Induced geometry
- Failure modes