High-dimensional density-based clustering using locality-sensitive hashing

Camilla Birch Okkels; Martin Aumüller; Viktor Bello Thomsen; Arthur Zimek

doi:10.48786/EDBT.2025.56

High-dimensional density-based clustering using locality-sensitive hashing

Camilla Birch Okkels, Martin Aumüller, Viktor Bello Thomsen, Arthur Zimek

Syddansk Universitet

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Originalsprog	Engelsk
Titel	EDBT 2025
Antal sider	13
Publikationsdato	2025
Sider	694-706
DOI	https://doi.org/10.48786/EDBT.2025.56
Status	Udgivet - 2025

Emneord

Clustering
approximate nearest neighbor algorithms
DBSCAN
Locality-Sensitive Hashing (LSH)

Adgang til dokumentet

10.48786/EDBT.2025.56Licens: CC BY-NC-ND

Citationsformater

@inproceedings{b3b9f051e1a341a7b7fd8e14288a7656,

title = "High-dimensional density-based clustering using locality-sensitive hashing",

keywords = "Clustering, approximate nearest neighbor algorithms, DBSCAN, Locality-Sensitive Hashing (LSH)",

author = "Okkels, {Camilla Birch} and Martin Aum{\"u}ller and Thomsen, {Viktor Bello} and Arthur Zimek",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2025",

doi = "10.48786/EDBT.2025.56",

language = "English",

pages = "694--706",

booktitle = "EDBT 2025",

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TY - GEN

T1 - High-dimensional density-based clustering using locality-sensitive hashing

AU - Okkels, Camilla Birch

AU - Aumüller, Martin

AU - Thomsen, Viktor Bello

AU - Zimek, Arthur

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2025

Y1 - 2025

KW - Clustering

KW - approximate nearest neighbor algorithms

KW - DBSCAN

KW - Locality-Sensitive Hashing (LSH)

UR - https://openproceedings.org/2025/conf/edbt/paper-208.pdf

U2 - 10.48786/EDBT.2025.56

DO - 10.48786/EDBT.2025.56

M3 - Article in proceedings

SP - 694

EP - 706

BT - EDBT 2025

ER -