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  2. Cuckoo hashing - Wikipedia

    en.wikipedia.org/wiki/Cuckoo_hashing

    Cuckoo hashing is a form of open addressing in which each non-empty cell of a hash table contains a key or key–value pair. A hash function is used to determine the location for each key, and its presence in the table (or the value associated with it) can be found by examining that cell of the table. However, open addressing suffers from ...

  3. Consistent hashing - Wikipedia

    en.wikipedia.org/wiki/Consistent_hashing

    Consistent hashing. In computer science, consistent hashing 1 2 is a special kind of hashing technique such that when a hash table is resized, only keys need to be remapped on average where is the number of keys and is the number of slots. In contrast, in most traditional hash tables, a change in the number of array slots causes nearly all keys ...

  4. 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.

  5. Feature hashing - Wikipedia

    en.wikipedia.org/wiki/Feature_hashing

    In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of vectorizing features, i.e. turning arbitrary features into indices in a vector or matrix. [ 1 ][ 2 ] It works by applying a hash function to the features and using their hash values as indices directly ...

  6. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    A universal hashing scheme is a randomized algorithm that selects a hash function h among a family of such functions, in such a way that the probability of a collision of any two distinct keys is 1/m, where m is the number of distinct hash values desired—independently of the two keys. Universal hashing ensures (in a probabilistic sense) that ...

  7. Secure Hash Algorithms - Wikipedia

    en.wikipedia.org/wiki/Secure_Hash_Algorithms

    The Secure Hash Algorithms are a family of cryptographic hash functions published by the National Institute of Standards and Technology (NIST) as a U.S. Federal Information Processing Standard (FIPS), including: SHA-0: A retronym applied to the original version of the 160-bit hash function published in 1993 under the name "SHA".

  8. MurmurHash - Wikipedia

    en.wikipedia.org/wiki/MurmurHash

    MurmurHash is a non-cryptographic hash function suitable for general hash-based lookup. [ 1 ][ 2 ][ 3 ] It was created by Austin Appleby in 2008 [ 4 ] and, as of 8 January 2016, [ 5 ] is hosted on GitHub along with its test suite named SMHasher. It also exists in a number of variants, [ 6 ] all of which have been released into the public domain.

  9. Hopscotch hashing - Wikipedia

    en.wikipedia.org/wiki/Hopscotch_hashing

    Hopscotch hashing is a scheme in computer programming for resolving hash collisions of values of hash functions in a table using open addressing. It is also well suited for implementing a concurrent hash table. Hopscotch hashing was introduced by Maurice Herlihy, Nir Shavit and Moran Tzafrir in 2008. [1] The name is derived from the sequence of ...