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arXiv · 2102.08942

A Survey on Locality Sensitive Hashing Algorithms and their Applications

Omid Jafari·Preeti Maurya·Parth Nagarkar·Khandker Mushfiqul Islam·Chidambaram Crushev
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Abstract

Finding nearest neighbors in high-dimensional spaces is a fundamental operation in many diverse application domains. Locality Sensitive Hashing (LSH) is one of the most popular techniques for finding approximate nearest neighbor searches in high-dimensional spaces. The main benefits of LSH are its sub-linear query performance and theoretical guarantees on the query accuracy. In this survey paper, we provide a review of state-of-the-art LSH and Distributed LSH techniques. Most importantly, unlike any other prior survey, we present how Locality Sensitive Hashing is utilized in different application domains.

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Omid Jafari, Preeti Maurya, Parth Nagarkar, Khandker Mushfiqul Islam, Chidambaram Crushev. 2021-02-17. A Survey on Locality Sensitive Hashing Algorithms and their Applications. https://arxiv.org/abs/2102.08942

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