Tversky similarity

{
  "id": "MLC-T-CHM-012367",
  "term": "Tversky similarity",
  "field": "Chemistry",
  "definition": "A method for quantifying the similarity between two sets, often used in cheminformatics to compare molecular fingerprints represented as bit strings. It is an asymmetric generalization of the Tanimoto coefficient that allows for weighting of features unique to each molecule. The Tversky index is calculated as the size of the intersection of two sets divided by the size of the intersection plus a weighted sum of the sizes of the two relative complements, controlled by parameters α and β.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "Tanimoto similarity",
    "bit string",
    "molecular fingerprints",
    "structural keys"
  ],
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 258 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/tversky-similarity/"
}