MLchartDataset catalogue

Normalization strategy

Term · Cybersecurity · MLC-T-CYB-002884

The similarity function can follow one of two normalization strategies, depending on whether the algorithm describes resemblance or containment. For resemblance queries, the number of matching features will be weighed against the total number of features in both objects. In the case of containment queries, the algorithm may disregard unmatched features in the larger of the objects’ two-feature sets.

Table 1. Record
IdentifierMLC-T-CYB-002884
FieldCybersecurity
ReferencesNIST SP 800-168; NIST CSRC Glossary
Record as JSON
{
  "id": "MLC-T-CYB-002884",
  "term": "Normalization strategy",
  "field": "Cybersecurity",
  "definition": "The similarity function can follow one of two normalization strategies, depending on whether the algorithm describes resemblance or containment. For resemblance queries, the number of matching features will be weighed against the total number of features in both objects. In the case of containment queries, the algorithm may disregard unmatched features in the larger of the objects’ two-feature sets.",
  "references": [
    "NIST SP 800-168",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/normalization-strategy/"
}

Record 2,884 of 4,693 in Cybersecurity terminology (MLC-0102). Request the full dataset.