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WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases

Summary: WaveCluster applies wavelet transforms to spatial density grids for multiresolution clustering, exposing arbitrary-shaped clusters at tunable accuracy. It is order- and noise-insensitive and scales efficiently to very large databases. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8699
Venue
VLDB
Year
1998
Pagerank
9.4453261e-05
Overall Rank
1,941 | 86.69%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sheikholeslami_vldb98,
        title = {{WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases}},
        author = {Sheikholeslami, Gholamhosein and Chatterjee, Surojit and Zhang, Aidong},
        journal = {PVLDB},
        series = {{VLDB} '98},
        pages = {428--439},
        year = {1998}
}

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