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Similarity function: Difference between revisions

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{{CyberTerm|definition=compares two similarity digests and outputs a score. The recommended approach is to assign a score s in the 0 ≤ s ≤ 1 range, where 0 indicates no similarity and 1 indicates high similarity. This score represents a normalized estimate of the number of matching features in the feature sets corresponding to the artifacts from which the similarity digests were created.|source=NIST SP 800-168}}
{{CyberTerm|definition=compares two similarity digests and outputs a score. The
recommended approach is to assign a score s in the 0 ≤ s ≤ 1 range, where 0 indicates no similarity and 1 indicates high similarity. This score represents a normalized estimate of the number of matching features in the feature sets corresponding to the artifacts from which the similarity digests were created.|source=NIST SP 800-168}}

Revision as of 01:42, 15 January 2026

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Similarity function

compares two similarity digests and outputs a score. The recommended approach is to assign a score s in the 0 ≤ s ≤ 1 range, where 0 indicates no similarity and 1 indicates high similarity. This score represents a normalized estimate of the number of matching features in the feature sets corresponding to the artifacts from which the similarity digests were created.


Source: NIST SP 800-168 | Category: