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)
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Authors
- 1. Shunya Fushimi
- 2. Masaru Kitsuregawa
- 3. Masaya Nakayama
- 4. Hidehiko Tanaka
- 5. Tohru Moto-Oka
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 520 | An Overview of The System Software of A Parallel Relational Database Machine GRACE | 1986 | VLDB | 0.00021152636 |
| 3,064 | Query Processing Method for Multi-Attribute Clustered Relations | 1990 | VLDB | 7.6279403e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | The K-D-B-Tree: A Search Structure for Large Multidimensional Dynamic Indexes | 1981 | SIGMOD | 0.0018397217 |
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