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Clustering Objects on a Spatial Network

Summary: Clustering objects on edges of a spatial network using shortest-path distance, not Euclidean. Introduces partitioning, density-based, and hierarchical variants; evaluated on road networks; scalable, effective at identifying network-aware clusters. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3601
Venue
SIGMOD
Year
2004
Pagerank
5.5866563e-05
Overall Rank
7,602 | 47.85%
DOI
10.1145/1007568.1007619

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yiu_sigmod04,
        title = {{Clustering Objects on a Spatial Network}},
        author = {Yiu, Man Lung and Mamoulis, Nikos},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007619},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007619},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,327 Capacity Constrained Assignment in Spatial Databases 2008 SIGMOD 8.7476945e-05
4,651 Density-based Place Clustering in Geo-Social Networks 2014 SIGMOD 6.585234e-05
9,632 Fast Network K-function-based Spatial Analysis 2022 VLDB 5.2434488e-05
11,697 Fast Augmentation Algorithms for Network Kernel Density Visualization 2021 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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