Locality-sensitive hashing

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.