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In algorithms, locality-sensitive hashing refers to hashing schemes where similar items collide with higher probability than dissimilar ones, enabling fast approximate nearest-neighbour search. This meaning comes from Indyk (1998) in Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98.[1]
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