OPTICS: Ordering Points To Identify the Clustering Structure.

@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}
}

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.

ACM SIGMOD DiSC

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the CD and click on the path of your mount point:
  /Anthology/DISC001 or /cdrom

ACM SIGMOD Anthology

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the DVD and click on the path of your mount point:
  /Anthology/aDVD1 or /dvd

Printed Edition

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

[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

[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

[CPZ 97]

Paolo Ciaccia, Marco Patella, Pavel Zezula: M-tree: An Efficient Access Method for Similarity Search in Metric Spaces. VLDB 1997: 426-435

[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

[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

[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

[GM 85]

...

[GRS 98]

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: CURE: An Efficient Clustering Algorithm for Large Databases. SIGMOD Conference 1998: 73-84

[HK 98]

Alexander Hinneburg, Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65

[HT 93]

...

[Hua 97]

Zhexue Huang: A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997: 0-

[JD 88]

Anil K. Jain, Richard C. Dubes: Algorithms for Clustering Data. Prentice-Hall 1988

[Kei 96a]

Daniel A. Keim: Pixel-oriented Database Visualizations. SIGMOD Record 25(4): 35-39(1996)

[Kei 96b]

Daniel A. Keim: Databases and Visualization. SIGMOD Conference 1996: 543

[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)

[KR 90]

L. Kaufman, P. J. Rousseeuw: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley 1990

[Mac 67]

...

[NH 94]

Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155

[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

[Ric 83]

...

[Sch 96]

...

[SE 97]

Erich Schikuta, Martin Erhart: The BANG-Clustering System: Grid-Based Data Analysis. IDA 1997: 513-524

[SCZ 98]

Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang: WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. VLDB 1998: 428-439

[Sib 73]

R. Sibson: SLINK: An Optimally Efficient Algorithm for the Single-Link Cluster Method. Comput. J. 16(1): 30-34(1973)

[ZRL 96]

Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. SIGMOD Conference 1996: 103-114