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A Tanimoto similarity measure between two binary fingerprints is defined by the ratio of the number of common bits set to one to the total number of bits set to one in the two fingerprints [15].
The Tanimoto similarity, also known as the Jaccard similarity, between two binary fingerprints is defined by the ratio of the number of bits set to 1 in both fingerprints to the total number of bits set to 1 in either fingerprint, (1).
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The similarity between two binary ECFP fingerprints can be calculated with the well known Tanimoto coefficient as presented in Equation 13. (13) Tan (A, B ) = | A ∩ B | | A ∪ B | The 4DFAP, a 4D‐based similarity measure, efficiently compares the conformational space of two given molecules.
The association between two binary variables was assessed using the Exact Fisher test.
The SADs between two binary molds represents the total number of mismatched pixels.
Hamming distance is the number of bits which differ between two binary strings.
(Cf. blue stragglers) A likely scenario is a collision with a binary star system, or between two binary systems containing white dwarfs.
The MCC represents a Pearson correlation between two binary vectors.
Correlations between two binary variables were examined using a Pearson χ test.
Fingerprint systems mainly focus on two applications: fingerprint matching which computes a match score between two fingerprints, and fingerprint classification which assigns fingerprints into one of the (pre defined classes.
These were obtained by combining five different 2D binary fingerprints with five different similarity coefficients.
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