DBSCAN (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "DBSCAN" in English language version.

refsWebsite

Global rank English rank

9doi.org

2^nd place

7semanticscholar.org

11^th place

8^th place

4worldcat.org

5^th place

2web.archive.org

1^st place

2acm.org

1,185^th place

840^th place

1aaai.org

9,352^nd place

5,696^th place

1psu.edu

207^th place

136^th place

1microsoft.com

153^rd place

151^st place

1kdd.org

low place

1vitavonni.de

low place

1springer.com

274^th place

309^th place

1oup.com

485^th place

440^th place

1harvard.edu

18^th place

17^th place

1wiley.com

222^nd place

297^th place

1ceur-ws.org

low place

aaai.org (Global: 9,352^nd place; English: 5,696^th place)

cdn.aaai.org

Ester, Martin; Kriegel, Hans-Peter; Sander, Jörg; Xu, Xiaowei (1996). Simoudis, Evangelos; Han, Jiawei; Fayyad, Usama M. (eds.). A density-based algorithm for discovering clusters in large spatial databases with noise (PDF). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. pp. 226–231. CiteSeerX 10.1.1.121.9220. ISBN 1-57735-004-9.

acm.org (Global: 1,185^th place; English: 840^th place)

dl.acm.org

"TODS Home". tods.acm.org. Association for Computing Machinery. Retrieved 2020-07-16.
Beer, Anna; Draganov, Andrew; Hohma, Ellen; Jahn, Philipp; Frey, Christian M.M.; Assent, Ira (6 August 2023). "Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering". Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM. pp. 80–92. doi:10.1145/3580305.3599283. ISBN 9798400701030. S2CID 260499476.

ceur-ws.org (Global: low place; English: low place)

Schubert, Erich; Hess, Sibylle; Morik, Katharina (2018). The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering (PDF). Lernen, Wissen, Daten, Analysen (LWDA). pp. 330–334 – via CEUR-WS.org.

doi.org (Global: 2^nd place; English: 2^nd place)

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). "DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN". ACM Trans. Database Syst. 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Sander, Joerg (2013). Pei, Jian; Tseng, Vincent S.; Cao, Longbing; Motoda, Hiroshi (eds.). Density-Based Clustering Based on Hierarchical Density Estimates. Advances in Knowledge Discovery and Data Mining. Vol. 7819. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 160–172. doi:10.1007/978-3-642-37456-2_14. ISBN 978-3-642-37455-5. Retrieved 2023-08-18.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg (2015). "Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection". ACM Transactions on Knowledge Discovery from Data. 10 (1): 1–51. doi:10.1145/2733381. ISSN 1556-4681. S2CID 2887636.
Ling, R. F. (1972-01-01). "On the theory and construction of k-clusters". The Computer Journal. 15 (4): 326–332. doi:10.1093/comjnl/15.4.326. ISSN 0010-4620.
Sander, Jörg; Ester, Martin; Kriegel, Hans-Peter; Xu, Xiaowei (1998). "Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications". Data Mining and Knowledge Discovery. 2 (2). Berlin: Springer-Verlag: 169–194. Bibcode:1998DMKD....2..169S. doi:10.1023/A:1009745219419. S2CID 445002.
Beer, Anna; Draganov, Andrew; Hohma, Ellen; Jahn, Philipp; Frey, Christian M.M.; Assent, Ira (6 August 2023). "Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering". Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM. pp. 80–92. doi:10.1145/3580305.3599283. ISBN 9798400701030. S2CID 260499476.
Kriegel, Hans-Peter; Kröger, Peer; Sander, Jörg; Zimek, Arthur (2011). "Density-based Clustering". WIREs Data Mining and Knowledge Discovery. 1 (3): 231–240. doi:10.1002/widm.30. S2CID 36920706. Archived from the original on 2016-11-17. Retrieved 2011-12-12.
Campello, R. J. G. B.; Moulavi, D.; Zimek, A.; Sander, J. (2013). "A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies". Data Mining and Knowledge Discovery. 27 (3): 344. doi:10.1007/s10618-013-0311-4. S2CID 8144686.
Kriegel, Hans-Peter; Schubert, Erich; Zimek, Arthur (2016). "The (black) art of runtime evaluation: Are we comparing algorithms or implementations?". Knowledge and Information Systems. 52 (2): 341. doi:10.1007/s10115-016-1004-2. ISSN 0219-1377. S2CID 40772241.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Sander, Jörg; Ester, Martin; Kriegel, Hans-Peter; Xu, Xiaowei (1998). "Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications". Data Mining and Knowledge Discovery. 2 (2). Berlin: Springer-Verlag: 169–194. Bibcode:1998DMKD....2..169S. doi:10.1023/A:1009745219419. S2CID 445002.

kdd.org (Global: low place; English: low place)

"2014 SIGKDD Test of Time Award". ACM SIGKDD. 2014-08-18. Retrieved 2016-07-27.

microsoft.com (Global: 153^rd place; English: 151^st place)

academic.research.microsoft.com

"Microsoft Academic Search: Papers". Archived from the original on April 21, 2010. Retrieved 2010-04-18. Most cited data mining articles according to Microsoft academic search; DBSCAN is on rank 24.

oup.com (Global: 485^th place; English: 440^th place)

academic.oup.com

Ling, R. F. (1972-01-01). "On the theory and construction of k-clusters". The Computer Journal. 15 (4): 326–332. doi:10.1093/comjnl/15.4.326. ISSN 0010-4620.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Ester, Martin; Kriegel, Hans-Peter; Sander, Jörg; Xu, Xiaowei (1996). Simoudis, Evangelos; Han, Jiawei; Fayyad, Usama M. (eds.). A density-based algorithm for discovering clusters in large spatial databases with noise (PDF). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. pp. 226–231. CiteSeerX 10.1.1.121.9220. ISBN 1-57735-004-9.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). "DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN". ACM Trans. Database Syst. 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg (2015). "Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection". ACM Transactions on Knowledge Discovery from Data. 10 (1): 1–51. doi:10.1145/2733381. ISSN 1556-4681. S2CID 2887636.
Sander, Jörg; Ester, Martin; Kriegel, Hans-Peter; Xu, Xiaowei (1998). "Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications". Data Mining and Knowledge Discovery. 2 (2). Berlin: Springer-Verlag: 169–194. Bibcode:1998DMKD....2..169S. doi:10.1023/A:1009745219419. S2CID 445002.
Beer, Anna; Draganov, Andrew; Hohma, Ellen; Jahn, Philipp; Frey, Christian M.M.; Assent, Ira (6 August 2023). "Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering". Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM. pp. 80–92. doi:10.1145/3580305.3599283. ISBN 9798400701030. S2CID 260499476.
Kriegel, Hans-Peter; Kröger, Peer; Sander, Jörg; Zimek, Arthur (2011). "Density-based Clustering". WIREs Data Mining and Knowledge Discovery. 1 (3): 231–240. doi:10.1002/widm.30. S2CID 36920706. Archived from the original on 2016-11-17. Retrieved 2011-12-12.
Campello, R. J. G. B.; Moulavi, D.; Zimek, A.; Sander, J. (2013). "A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies". Data Mining and Knowledge Discovery. 27 (3): 344. doi:10.1007/s10618-013-0311-4. S2CID 8144686.
Kriegel, Hans-Peter; Schubert, Erich; Zimek, Arthur (2016). "The (black) art of runtime evaluation: Are we comparing algorithms or implementations?". Knowledge and Information Systems. 52 (2): 341. doi:10.1007/s10115-016-1004-2. ISSN 0219-1377. S2CID 40772241.

springer.com (Global: 274^th place; English: 309^th place)

link.springer.com

Campello, Ricardo J. G. B.; Moulavi, Davoud; Sander, Joerg (2013). Pei, Jian; Tseng, Vincent S.; Cao, Longbing; Motoda, Hiroshi (eds.). Density-Based Clustering Based on Hierarchical Density Estimates. Advances in Knowledge Discovery and Data Mining. Vol. 7819. Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 160–172. doi:10.1007/978-3-642-37456-2_14. ISBN 978-3-642-37455-5. Retrieved 2023-08-18.

vitavonni.de (Global: low place; English: low place)

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). "DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN". ACM Trans. Database Syst. 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.

web.archive.org (Global: 1^st place; English: 1^st place)

"Microsoft Academic Search: Papers". Archived from the original on April 21, 2010. Retrieved 2010-04-18. Most cited data mining articles according to Microsoft academic search; DBSCAN is on rank 24.
Kriegel, Hans-Peter; Kröger, Peer; Sander, Jörg; Zimek, Arthur (2011). "Density-based Clustering". WIREs Data Mining and Knowledge Discovery. 1 (3): 231–240. doi:10.1002/widm.30. S2CID 36920706. Archived from the original on 2016-11-17. Retrieved 2011-12-12.

wiley.com (Global: 222^nd place; English: 297^th place)

wires.wiley.com

Kriegel, Hans-Peter; Kröger, Peer; Sander, Jörg; Zimek, Arthur (2011). "Density-based Clustering". WIREs Data Mining and Knowledge Discovery. 1 (3): 231–240. doi:10.1002/widm.30. S2CID 36920706. Archived from the original on 2016-11-17. Retrieved 2011-12-12.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). "DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN". ACM Trans. Database Syst. 42 (3): 19:1–19:21. doi:10.1145/3068335. ISSN 0362-5915. S2CID 5156876.
Campello, Ricardo J. G. B.; Moulavi, Davoud; Zimek, Arthur; Sander, Jörg (2015). "Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection". ACM Transactions on Knowledge Discovery from Data. 10 (1): 1–51. doi:10.1145/2733381. ISSN 1556-4681. S2CID 2887636.
Ling, R. F. (1972-01-01). "On the theory and construction of k-clusters". The Computer Journal. 15 (4): 326–332. doi:10.1093/comjnl/15.4.326. ISSN 0010-4620.
Kriegel, Hans-Peter; Schubert, Erich; Zimek, Arthur (2016). "The (black) art of runtime evaluation: Are we comparing algorithms or implementations?". Knowledge and Information Systems. 52 (2): 341. doi:10.1007/s10115-016-1004-2. ISSN 0219-1377. S2CID 40772241.

DBSCAN (English Wikipedia)

aaai.org (Global: 9,352nd place; English: 5,696th place)

cdn.aaai.org

acm.org (Global: 1,185th place; English: 840th place)

dl.acm.org

ceur-ws.org (Global: low place; English: low place)

doi.org (Global: 2nd place; English: 2nd place)

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

kdd.org (Global: low place; English: low place)

microsoft.com (Global: 153rd place; English: 151st place)

academic.research.microsoft.com

oup.com (Global: 485th place; English: 440th place)

academic.oup.com

psu.edu (Global: 207th place; English: 136th place)

citeseerx.ist.psu.edu

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

springer.com (Global: 274th place; English: 309th place)

link.springer.com

vitavonni.de (Global: low place; English: low place)

web.archive.org (Global: 1st place; English: 1st place)

wiley.com (Global: 222nd place; English: 297th place)

wires.wiley.com

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

aaai.org (Global: 9,352^nd place; English: 5,696^th place)

acm.org (Global: 1,185^th place; English: 840^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

harvard.edu (Global: 18^th place; English: 17^th place)

microsoft.com (Global: 153^rd place; English: 151^st place)

oup.com (Global: 485^th place; English: 440^th place)

psu.edu (Global: 207^th place; English: 136^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

springer.com (Global: 274^th place; English: 309^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

wiley.com (Global: 222^nd place; English: 297^th place)

worldcat.org (Global: 5^th place; English: 5^th place)