ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases.

Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander: A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE 1998: 324-331
@inproceedings{DBLP:conf/icde/XuEKS98,
  author    = {Xiaowei Xu and
               Martin Ester and
               Hans-Peter Kriegel and
               J{\"o}rg Sander},
  title     = {A Distribution-Based Clustering Algorithm for Mining in Large
               Spatial Databases},
  booktitle = {Proceedings of the Fourteenth International Conference on Data
               Engineering, February 23-27, 1998, Orlando, Florida, USA},
  publisher = {IEEE Computer Society},
  year      = {1998},
  isbn      = {0-8186-8289-2},
  pages     = {324-331},
  ee        = {db/conf/icde/XuEKS98.html},
  crossref  = {DBLP:conf/icde/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Copyright © 1998 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

CDROM Version: Load the CDROM "Volume 2 Issue 7, ICDE 1996-1998, PDIS, Hypertext, ACL DL" and ... DVD Version: Load ACM SIGMOD Anthology DVD 1" and ... BibTeX

Printed Edition

Proceedings of the Fourteenth International Conference on Data Engineering, February 23-27, 1998, Orlando, Florida, USA. IEEE Computer Society 1998, ISBN 0-8186-8289-2
Contents BibTeX

References

[1]
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[2]
Norbert Beckmann, Hans-Peter Kriegel, Ralf Schneider, Bernhard Seeger: The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles. SIGMOD Conference 1990: 322-331 BibTeX
[3]
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[4]
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[7]
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD 1995: 67-82 BibTeX
[8]
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery: An Overview. Advances in Knowledge Discovery and Data Mining 1996: 1-34 BibTeX
[9]
Ralf Hartmut Güting: An Introduction to Spatial Database Systems. VLDB J. 3(4): 357-399(1994) BibTeX
[10]
L. Kaufman, P. J. Rousseeuw: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley 1990
BibTeX
[11]
...
[12]
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[13]
Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 BibTeX
[14]
Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. SIGMOD Conference 1996: 103-114 BibTeX

Referenced by

  1. Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang: WaveCluster: A Wavelet Based Clustering Approach for Spatial Data in Very Large Databases. VLDB J. 8(3-4): 289-304(2000)
  2. Charu C. Aggarwal, Philip S. Yu: Finding Generalized Projected Clusters In High Dimensional Spaces. SIGMOD Conference 2000: 70-81
  3. Alexander Hinneburg, Daniel A. Keim: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999: 506-517
  4. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park: Fast Algorithms for Projected Clustering. SIGMOD Conference 1999: 61-72
BibTeX
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