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On Locality-sensitive Indexing in Generic Metric Spaces

Název česky O indexovaní respektujícím vzdálenosti objektů v obecných metrických prostorech.
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NOVÁK David KYSELÁK Martin ZEZULA Pavel

Rok publikování 2010
Druh Článek ve sborníku
Konference 3rd International Conference on Similarity Search and Applications
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Obor Informatika
Klíčová slova locality-sensitive hashing; metric space; similarity search; approximation; scalability
Popis The concept of Locality-sensitive Hashing (LSH) has been successfully used for searching in high-dimensional data and a number of locality-preserving hash functions have been introduced. In order to extend the applicability of the LSH approach to a general metric space, we focus on a recently presented Metric Index (M-Index), we redefine its hashing and searching process in the terms of LSH, and perform extensive measurements on two datasets to verify that the M-Index fulfills the conditions of the LSH concept. We widely discuss "optimal" properties of LSH functions and the efficiency of a given LSH function with respect to kNN queries. The results also indicate that the M-Index hashing and searching is more efficient than the tested standard LSH approach for Euclidean distance.
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