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by maycotte 1090 days ago
So interesting that even though their mathematical representations may differ, both the Jaccard index and the Tanimoto similarity essentially capture the same concept of similarity between sets: the ratio of the size of the intersection to the size of the union. Hence, they result in the same values, given the set operations, and are often used interchangeably.

Does FeatureBase compute on one or the other better?