In computer science and data mining, MinHash (or the min-wise independent permutations locality sensitive hashing scheme) is a technique for quickly estimating...

Minhash and LSH for Google News personalization. MinHash w-shingling Count–min sketch Locality-sensitive hashing Cyphers, Bennett (2021-03-03). "Google's FLoC...

exclusive ors and circular shifts. MinHash – Data mining technique w-shingling Daniel Lemire, Owen Kaser: Recursive n-gram hashing is pairwise independent, at...

engine that implements edit distance) Manhattan distance Metric space MinHash Optimal matching algorithm Numerical taxonomy Sørensen similarity index...

trie Hash list Hash table Hash tree Hash trie Koorde Prefix hash tree Rolling hash MinHash Ctrie Many graph-based data structures are used in computer...

Toopher, a mobile authentication company, Tempo, an AI calendar app, and MinHash, an AI platform. The company also acquired SteelBrick, a software company...

improves scalability. Additive smoothing Feature extraction Machine learning MinHash Vector space model w-shingling McTear et al 2016, p. 167. Sivic, Josef...

semantic analysis Local tangent space alignment Locality-sensitive hashing MinHash Multifactor dimensionality reduction Nearest neighbor search Nonlinear...

document Locality-sensitive hashing – Algorithmic technique using hashing MinHash – Data mining technique Moody, John (1989). "Fast learning in multi-resolution...

for combinations of sets Logical conjunction – Logical connective AND MinHash – Data mining technique Naive set theory – Informal set theories Symmetric...

sketch not a linear sketch, it is still mergeable. Feature hashing Locality-sensitive hashing MinHash The following discussion assumes that only "positive"...

are not well defined in these cases. The MinHash min-wise independent permutations locality sensitive hashing scheme may be used to efficiently compute...

D., et al. "Mash: fast genome and metagenome distance estimation using MinHash." Genome biology 17.1 (2016): 1-14. Bray, J. Roger; Curtis, J. T. (1957)...

methods that require a high-quality hash function, including hopscotch hashing, cuckoo hashing, and the MinHash technique for estimating the size of...

neighbor algorithm Linear least squares Locality sensitive hashing Maximum inner-product search MinHash Multidimensional analysis Nearest-neighbor interpolation...

approach using minhash. In this method, given a number k, a genomic sequence is transformed into a shorter sketch through a random hash function on the...

processes can consist of dimensionality -reduction techniques, such as Minhash, and clusterization algorithms such as k-medoids and affinity propagation...

Bag-of-words model Jaccard index Concept mining k-mer MinHash n-gram Rabin fingerprint Rolling hash Vector space model Broder; Glassman; Manasse; Zweig...

portal Count–min sketch – Probabilistic data structure in computer science Feature hashing – Vectorizing features using a hash function MinHash – Data mining...

Collocation Feature engineering Hidden Markov model Longest common substring MinHash n-tuple String kernel Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal;...

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...

Metropolis–Hastings algorithm Mexican paradox Microdata (statistics) Midhinge Mid-range MinHash Minimax Minimax estimator Minimisation (clinical trials) Minimum chi-square...

Conference on Artificial Intelligence Michael Kearns (computer scientist) MinHash Mixture model Mlpy Models of DNA evolution Moral graph Mountain car problem...

variables. The MinHash algorithm can be implemented using a log ⁡ 1 ϵ {\displaystyle \log {\tfrac {1}{\epsilon }}} -independent hash function as was...

In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability...

set-intersection problem and "min-hashing" or to construct "sketches" of sets. This was a pioneering effort in the area of locality-sensitive hashing. In 1998, he co-invented...

S2CID 196180156. Criscuolo A (November 2020). "On the transformation of MinHash-based uncorrected distances into proper evolutionary distances for phylogenetic...

sequences into account. This is an extremely fast method that uses the MinHash bottom sketch strategy for estimating the Jaccard index of the multi-sets...

billion byte-pair-encoded tokens. Fuzzy deduplication used Apache Spark's MinHashLSH.: 9  Other sources are 19 billion tokens from WebText2 representing...

In computer science, consistent hashing is a special kind of hashing technique such that when a hash table is resized, only n / m {\displaystyle n/m} keys...