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Table 1.

Overview of the clustering algorithms that we test with synthetic data (simulated cluster samples) and compare to SigMA.

Algorithm Main reference Short description For example, used by (b)
DBSCAN Ester et al. (1996) A density-based Castro-Ginard et al. (2019, 2020, 2022), Zari et al. (2019),
Clustering algorithm Fürnkranz et al. (2019), Hunt & Reffert (2021)
HDBSCAN (a) Campello et al. (2013) A hierarchical density-based Kounkel & Covey (2019), Kounkel et al. (2020),
Clustering algorithm Hunt & Reffert (2021, 2023), Kerr et al. (2021)

Notes. The results are listed in Table 2.

(a)

See Appendix B.1 for further discussion on the HDBSCAN algorithm.

(b)

The reference lists are not exhaustive literature reviews but are intended to highlight the relevance of the proposed comparison methods.

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