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  2. Nextdoor - Wikipedia

    en.wikipedia.org/wiki/Nextdoor

    Nextdoor Holdings, Inc. Nextdoor Holdings, Inc. is an American company that operates a hyperlocal social networking service for neighborhoods. The company was founded in 2008 and is based in San Francisco, California. Nextdoor launched in the United States in October 2011. [3] It is available in eleven countries as of May 2023. [4]

  3. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbor_search

    Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values. Formally, the nearest-neighbor (NN ...

  4. Hierarchical navigable small world - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_navigable...

    v. t. e. The Hierarchical navigable small world (HNSW) algorithm is a graph -based approximate nearest neighbor search technique used in many vector databases. [1][2] Nearest neighbor search without an index involves computing the distance from the query to each point in the database, which for large datasets is computationally prohibitive.

  5. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  6. Locality-sensitive hashing - Wikipedia

    en.wikipedia.org/wiki/Locality-sensitive_hashing

    In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability. [1] ( The number of buckets is much smaller than the universe of possible input items.) [1] Since similar items end up in the same buckets, this technique can be used for data clustering and nearest neighbor search.

  7. Best bin first - Wikipedia

    en.wikipedia.org/wiki/Best_bin_first

    hide. Best bin first is a search algorithm that is designed to efficiently find an approximate solution to the nearest neighbor search problem in very-high-dimensional spaces. The algorithm is based on a variant of the kd-tree search algorithm which makes indexing higher-dimensional spaces possible. Best bin first is an approximate algorithm ...

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