Approaches for scaling DBSCAN algorithm to large spatial databases

DOI10.1007/BF02948834zbMath0970.68583MaRDI QIDQ5938719

Ye Fan, Jing Cao, Shuigeng Zhou, Aoying Zhou, Junfa Hu

Publication date: 18 October 2001

Published in: Journal of Computer Science and Technology (Search for Journal in Brave)

zbMATH Keywords

clusteringdata partitioningdata samplingfast DBSCAN algorithmparallelspatial database

Mathematics Subject Classification ID

Database theory (68P15) Computing methodologies and applications (68U99)

Related Items (2)

Robustness of density-based clustering methods with various neighborhood relations ⋮ A review and proposal of (fuzzy) clustering for nonlinearly separable data

Uses Software

• clusfind

Cites Work

• Unnamed Item
• Cure: An efficient clustering algorithm for large databases
• Random sampling with a reservoir
• Finding Groups in Data

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