DESIRE: An Efficient Dynamic Cluster-based Forest Indexing for Similarity Search in Multi-Metric Spaces
Summary: DESIRE: dynamic cluster-based forest index for multi-metric similarity search. Builds compact centers, indexes center–object distances with B+-trees, supports dynamic updates, and uses filtering to speed multi-metric queries, outperforming prior indexes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yifan Zhu
- 2. Lu Chen
- 3. Yunjun Gao
- 4. Baihua Zheng
- 5. Pengfei Wang
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,167 | GTS: GPU-based Tree Index for Fast Similarity Search | 2024 | SIGMOD | 4.567569e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.00051785122 |
| 574 | Distance-Based Indexing For High-Dimensional Metric Spaces | 1997 | SIGMOD | 0.0001987713 |
| 707 | Near Neighbor Search in Large Metric Spaces | 1995 | VLDB | 0.00017770532 |
| 2,967 | Processing a Large Number of Continuous Preference Top-k Queries | 2012 | SIGMOD | 7.7975455e-05 |
| 5,086 | Pivot-based Metric Indexing | 2017 | VLDB | 5.7036022e-05 |
| 6,111 | Continuously Adaptive Similarity Search | 2020 | SIGMOD | 5.2016636e-05 |
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