paper

SuperMinHash - A New Minwise Hashing Algorithm for Jaccard Similarity Estimation

arXiv:1706.05698

Abstract

This paper presents a new algorithm for calculating hash signatures of sets which can be directly used for Jaccard similarity estimation. The new approach is an improvement over the MinHash algorithm, because it has a better runtime behavior and the resulting signatures allow a more precise estimation of the Jaccard index.

6 pages, 2 figures

References in corpus (2)

SuperMinHash - A New Minwise Hashing Algorithm for Jaccard Similarity Estimation · wovepaper