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}} | |||
Latest revision as of 00:24, 20 January 2026
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: