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Multi-step density-based clustering

Published:2005-09-09 Issue:3 Volume:9 Page:284-308
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Brecheisen Stefan,Kriegel Hans-Peter,Pfeifle Martin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-005-0217-6.pdf

Reference22 articles.

1. Agrawal R, Faloutsos C, Swami A (1993) Efficient similarity search in sequence databases. In: Proceedings of the 4th. international conference on foundations of data organization and algorithms (FODO'93), Evanston. ILL. Lecture notes in computer science (LNCS), vol 730, pp 69–84, Springer

2. Ankerst M, Breunig MM, Kriegel H-P, Sander J (1999) OPTICS: Ordering points to identify the clustering structure. In: Proceedings of the ACM SIGMOD international conference on management of data (SIGMOD '99), Philadelphia, PA, pp 49–60

3. Braunmüller B, Ester M, Kriegel H-P, Sander J (2000) Efficiently supporting multiple similarity queries for mining in metric databases. In: Proceedings of the international conference on data engineering (ICDE, 2000), San Diego, CA, pp 256–267

4. Brecheisen S, Kriegel H-P, Kröger P, Pfeifle M (2004) Visually mining through cluster hierarchies. In: Proceedings of the SIAM international conference on data mining (SDM'04), Lake Buena Vista, FL, pp 400–412

5. Böhm C, Braunmüller B, Breunig M, Kriegel H-P (2000) High performance clustering based on the similarity join. In: Proceedings of the 9th international conference on information and knowledge management (CIKM, 2000), Washington, DC, pp 298–313

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