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Similarity

Locality-sensitive hash functions used for similarity detection, duplicate finding, and nearest neighbor searches.

6 algorithms•Category
SimHash
Similarity

Locality-sensitive SimHash for document similarity - finds near-duplicate content efficiently

Added: 2026-01-19
MinHash
Similarity

MinHash for Jaccard similarity estimation - used in duplicate detection and recommendation systems

Added: 2026-01-19
b-bit MinHash
Similarity

Compact b-bit MinHash - memory-efficient similarity detection for large-scale applications

Added: 2026-01-19
SuperMinHash
Similarity

Enhanced SuperMinHash (2017) - improved accuracy over traditional MinHash for similarity search

Added: 2026-01-19
Nilsimsa
Similarity

Nilsimsa hash for spam detection - specialized locality-sensitive hash for email and text analysis

Added: 2026-01-19
I-Match
Similarity

I-Match lexicon-based similarity algorithm - customizable duplicate detection using word dictionaries

Added: 2026-01-19
Showing 6 of 6 algorithms
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Compute and verify cryptographic hashes. No data stored.

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