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Locality-sensitive hashing

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Locality-Sensitive Hashing (LSH) is a technique used to effectively and efficiently retrieve similar items from large datasets. It's particularly useful in applications involving high-dimensional data, such as image retrieval, text similarity, or near-neighbor search.

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