FINEX: A Fast Index for Exact & Flexible Density-Based Clustering
Summary: FINEX is a linear-space index for exact density-based clustering, supporting epsilon or MinPts queries. It prunes neighborhood computations, yields exact results with flexible distance metrics and data types, and outperforms exact clustering baselines on real data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Konstantin Emil Thiel
- 2. Daniel Kocher
- 3. Nikolaus Augsten
- 4. Thomas Hütter
- 5. Willi Mann
- 6. Daniel Schmitt
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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 |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032169493 |
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.0005181666 |
| 270 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00029505642 |
| 3,459 | An Empirical Evaluation of Set Similarity Join Techniques | 2016 | VLDB | 7.072508e-05 |
| 3,490 | Leveraging Set Relations in Exact Set Similarity Join | 2017 | VLDB | 7.0465856e-05 |
| 5,894 | Fast Euclidean OPTICS with Bounded Precision in Low Dimensional Space | 2018 | SIGMOD | 5.2864259e-05 |
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