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Algorithm And Performance Evaluation Of Adaptive Multidimensional Clustering Technique

Summary: GKD-tree: adaptive multidimensional clustering tuned to tuple and query distributions. Theoretical performance analysis shows reductions in average page accesses across distributions; discusses GRACE implementation and algorithm refinements. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2345
Venue
SIGMOD
Year
1985
Pagerank
5.093636e-05
Overall Rank
13,218 | 9.32%
DOI
10.1145/318898.318928

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Authors

BibTeX Citation

@inproceedings{fushimi_sigmod85,
        title = {{ALGORITHM AND PERFORMANCE EVALUATION OF ADAPTIVE MULTIDIMENSIONAL CLUSTERING TECHNIQUE}},
        author = {Fushimi, Shunya and Kitsuregawa, Masaru and Nakayama, Masaya and Tanaka, Hidehiko and Moto-Oka, Tohru},
        series = {{SIGMOD} '85},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/318898.318928},
        url = {https://dl.acm.org/doi/10.1145/318898.318928},
        year = {1985}
}

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

Rank Cited Paper Year Venue Pagerank
8 The K-D-B-Tree: A Search Structure for Large Multidimensional Dynamic Indexes 1981 SIGMOD 0.00082404462
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