The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
ST-DBSCAN: An algorithm for clustering spatial–temporal data
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Data mining: concepts and techniques
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R-trees: a dynamic index structure for spatial searching
Guttman, A. (1984) · Proceedings of the 1984 ACM SIGMOD international conference on Management of data - SIGMOD '84 · doi:10.1145/602259.602266 · Cited by 6,580
Data Mining - Concepts and Techniques.
Perner, P. (2002) · Künstliche Intell. · Cited by 4,886
An Introduction to Data Mining
Stephens, C. R., & Sukumar, R. (2006) · The Handbook of Marketing Research · doi:10.4135/9781412973380.n22 · Cited by 4,562
Ankerst, M. (1999) · doi:10.1145/304181.304187 · Cited by 3,982
BIRCH: an efficient data clustering method for very large databases
Zhang, T., Ramakrishnan, R., & Livny, M. (1996) · Proceedings of the 1996 ACM SIGMOD international conference on Management of data - SIGMOD '96 · doi:10.1145/233269.233324 · Cited by 3,935
On Clustering Validation Techniques
Halkidi, M., Batistakis, Y., & Vazirgiannis, M. (2001) · Journal of Intelligent Information Systems · doi:10.1023/a:1012801612483 · Cited by 2,646
Cited by
A 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
Machine learning for medical imaging
Erickson, B. J., Korfiatis, P., Akkus, Z., & Kline, T. L. (2017) · RadioGraphics · doi:10.1148/rg.2017160130 · Cited by 1,672
dbscan: Fast Density-Based Clustering with R
Hahsler, M., Piekenbrock, M., & Doran, D. (2019) · Journal of Statistical Software · doi:10.18637/jss.v091.i01 · Cited by 802
Geospatial big data handling theory and methods: A review and research challenges
Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.10.012 · Cited by 749
DBSCAN: Past, present and future
Rehman, S. U., Asghar, S., Fong, S., & Sarasvady, S. (2014) · The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014) · doi:10.1109/icadiwt.2014.6814687 · Cited by 606
Metadata
- Authors
- Birant, D., & Kut, A.
- Venue
- Data & Knowledge Engineering
- Publisher
- Elsevier BV
- Published
- 2007-01
- Volume
- 60
- Issue
- 1
- Pages
- 208-221
- ISSN
- 0169-023X (ISSN-L)
- OpenAlex
- W1971022913
- Cited by
- 1,430
- References
- 34
- FWCI
- 11.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Birant, D., & Kut, A. (2007). ST-DBSCAN: An algorithm for clustering spatial–temporal data. Data & Knowledge Engineering. https://doi.org/10.1016/j.datak.2006.01.013
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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.
