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Approximate hierarchical density-based clustering algorithms using graph-based search indexes achieve highly accurate results while being up to two orders of magnitude faster than industry-standard exact baselines. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

June 14, 2026Information SystemsOpen Access

Approximate hierarchical density-based clustering using graph-based search indexes

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COCamilla Birch OkkelsIT University of Copenhagen ETErik ThordsenTU Dortmund University MAMartin AumüllerIT University of Copenhagen

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Cite This Study

Okkels et al. (2026) studied this question.

synapsesocial.com/papers/6a4207030239099e33cd23fc https://doi.org/10.1016/j.is.2026.102768

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June 14, 2026Information SystemsOpen Access

Approximate hierarchical density-based clustering using graph-based search indexes

View Full Paper

Ask AI

Bookmark

Authors

COCamilla Birch OkkelsIT University of Copenhagen ETErik ThordsenTU Dortmund University MAMartin AumüllerIT University of Copenhagen

Discussion

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Okkels et al. (2026) studied this question.

synapsesocial.com/papers/6a4207030239099e33cd23fc https://doi.org/10.1016/j.is.2026.102768

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