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OPTICS: Ordering Points To Identify the Clustering Structure.

Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. SIGMOD Conference 1999: 49-60
@inproceedings{DBLP:conf/sigmod/AnkerstBKS99,
  author    = {Mihael Ankerst and
               Markus M. Breunig and
               Hans-Peter Kriegel and
               J{\"o}rg Sander},
  editor    = {Alex Delis and
               Christos Faloutsos and
               Shahram Ghandeharizadeh},
  title     = {OPTICS: Ordering Points To Identify the Clustering Structure},
  booktitle = {SIGMOD 1999, Proceedings ACM SIGMOD International Conference
               on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania,
               USA},
  publisher = {ACM Press},
  year      = {1999},
  isbn      = {1-58113-084-8},
  pages     = {49-60},
  ee        = {http://doi.acm.org/10.1145/304182.304187, db/conf/sigmod/AnkerstBKS99.html},
  crossref  = {DBLP:conf/sigmod/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Copyright © 1999 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Printed Edition

Alex Delis, Christos Faloutsos, Shahram Ghandeharizadeh (Eds.): SIGMOD 1999, Proceedings ACM SIGMOD International Conference on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania, USA. ACM Press 1999, ISBN 1-58113-084-8 BibTeX , SIGMOD Record 28(4)
Contents

Online Edition: ACM Digital Library


References

[AGG+98]
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. SIGMOD Conference 1998: 94-105 BibTeX
[AKK 96]
...
[BKK 96]
Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: The X-tree : An Index Structure for High-Dimensional Data. VLDB 1996: 28-39 BibTeX
[BKSS 90]
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
[CPZ 97]
Paolo Ciaccia, Marco Patella, Pavel Zezula: M-tree: An Efficient Access Method for Similarity Search in Metric Spaces. VLDB 1997: 426-435 BibTeX
[EKSX 96]
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD 1996: 226-231 BibTeX
[EKS+ 98]
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu: Incremental Clustering for Mining in a Data Warehousing Environment. VLDB 1998: 323-333 BibTeX
[EKX 95]
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD 1995: 67-82 BibTeX
[GM 85]
...
[GRS 98]
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: CURE: An Efficient Clustering Algorithm for Large Databases. SIGMOD Conference 1998: 73-84 BibTeX
[HK 98]
Alexander Hinneburg, Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65 BibTeX
[HT 93]
...
[Hua 97]
Zhexue Huang: A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997: 0- BibTeX
[JD 88]
Anil K. Jain, Richard C. Dubes: Algorithms for Clustering Data. Prentice-Hall 1988
BibTeX
[Kei 96a]
Daniel A. Keim: Pixel-oriented Database Visualizations. SIGMOD Record 25(4): 35-39(1996) BibTeX
[Kei 96b]
Daniel A. Keim: Databases and Visualization. SIGMOD Conference 1996: 543 BibTeX
[KN 96]
Edwin M. Knorr, Raymond T. Ng: Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining. IEEE Trans. Knowl. Data Eng. 8(6): 884-897(1996) BibTeX
[KR 90]
L. Kaufman, P. J. Rousseeuw: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley 1990
BibTeX
[Mac 67]
...
[NH 94]
Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 BibTeX
[PTVF 92]
William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery: Numerical Recipes in C, 2nd Edition. Cambridge University Press 1992
Contents BibTeX
[Ric 83]
...
[Sch 96]
...
[SE 97]
Erich Schikuta, Martin Erhart: The BANG-Clustering System: Grid-Based Data Analysis. IDA 1997: 513-524 BibTeX
[SCZ 98]
Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang: WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. VLDB 1998: 428-439 BibTeX
[Sib 73]
R. Sibson: SLINK: An Optimally Efficient Algorithm for the Single-Link Cluster Method. Comput. J. 16(1): 30-34(1973) BibTeX
[ZRL 96]
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. Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng: The 3W Model and Algebra for Unified Data Mining. VLDB 2000: 21-32
  2. Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander: LOF: Identifying Density-Based Local Outliers. SIGMOD Conference 2000: 93-104
BibTeX
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