The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
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Cites
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The protein data bank: A computer-based archival file for macromolecular structures
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Algorithms for Clustering Data
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Finding Groups in Data: An Introduction to Cluster Analysis
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Data mining and knowledge discovery: making sense out of data
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The R*-tree: an efficient and robust access method for points and rectangles
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Self-citationBIRCH: an efficient data clustering method for very large databases
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Cited by
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN
Schubert, E., Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (2017) · ACM Transactions on Database Systems · doi:10.1145/3068335 · Cited by 2,737
Self-citationA Comprehensive Survey of Clustering Algorithms
Xu, D., & Tian, Y. (2015) · Annals of Data Science · doi:10.1007/s40745-015-0040-1 · Cited by 1,939
Algorithms for hierarchical clustering: an overview
Murtagh, F., & Contreras, P. (2012) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.53 · Cited by 1,874
Kriegel, H., Kröger, P., Sander, J., & Zimek, A. (2011) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.30 · Cited by 900
Self-citationA k-mean clustering algorithm for mixed numeric and categorical data
Ahmad, A., & Dey, L. (2007) · Data & Knowledge Engineering · doi:10.1016/j.datak.2007.03.016 · Cited by 718
Metadata
- Authors
- Sander, J., Ester, M., Kriegel, H.-P., & Xu, X.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 1998-06
- Volume
- 2
- Issue
- 2
- Pages
- 169-194
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2126751256
- Cited by
- 1,495
- References
- 29
- FWCI
- 9.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. https://app.cochat.ai/papers/10.1023/a:1009745219419
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- Sander, J., Ester, M., Kriegel, H.-P., & Xu, X. (1998). Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Mining and Knowledge Discovery. https://doi.org/10.1023/a%3A1009745219419
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
