Fast Algorithms for Projected Clustering.

@inproceedings{DBLP:conf/sigmod/AggarwalPWYP99,
  author    = {Charu C. Aggarwal and
               Cecilia Magdalena Procopiuc and
               Joel L. Wolf and
               Philip S. Yu and
               Jong Soo Park},
  editor    = {Alex Delis and
               Christos Faloutsos and
               Shahram Ghandeharizadeh},
  title     = {Fast Algorithms for Projected Clustering},
  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     = {61-72},
  ee        = {http://doi.acm.org/10.1145/304182.304188, db/conf/sigmod/AggarwalPWYP99.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

[1]

Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. SIGMOD Conference 1998: 94-105

[2]

...

[3]

...

[4]

...

[5]

...

[6]

Richard C. Dubes, Anil K. Jain: Clustering Methodologies in Exploratory Data Analysis. Advances in Computers 19: 113-228(1980)

[7]

Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: A Database Interface for Clustering in Large Spatial Databases. KDD 1995: 94-99

[8]

Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD 1995: 67-82

[9]

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

[10]

Upendra Shardanand, Pattie Maes: Social Information Filtering: Algorithms for Automating "Word of Mouth". CHI 1995: 210-217

[11]

Douglas H. Fisher: Knowledge Acquisition via Incremental Conceptual Clustering. Machine Learning 2(2): 139-172(1987)

[12]

Douglas Fisher: Optimization and Simplification of Hierarchical Clusterings. KDD 1995: 118-123

[13]

David Gibson, Jon M. Kleinberg, Prabhakar Raghavan: Clustering Categorical Data: An Approach Based on Dynamical Systems. VLDB 1998: 311-322

[14]

Teofilo F. Gonzalez: Clustering to Minimize the Maximum Intercluster Distance. Theor. Comput. Sci. 38: 293-306(1985)

[15]

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

[16]

...

[17]

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

[18]

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

[19]

Ron Kohavi, Dan Sommerfield: Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology. KDD 1995: 192-197

[20]

...

[21]

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

[22]

Stefan Berchtold, Christian Böhm, Daniel A. Keim, Hans-Peter Kriegel: A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space. PODS 1997: 78-86

[23]

...

[24]

Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander: A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE 1998: 324-331

[25]

...

[26]

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