Clustering Large Datasets in Arbitrary Metric Spaces.
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehrke, Allison L. Powell, James C. French:
Clustering Large Datasets in Arbitrary Metric Spaces.
ICDE 1999: 502-511@inproceedings{DBLP:conf/icde/GantiRGPF99,
author = {Venkatesh Ganti and
Raghu Ramakrishnan and
Johannes Gehrke and
Allison L. Powell and
James C. French},
editor = {Masaru Kitsuregawa and
Michael P. Papazoglou and
Calton Pu},
title = {Clustering Large Datasets in Arbitrary Metric Spaces},
booktitle = {Proceedings of the 15th International Conference on Data Engineering,
Sydney, Austrialia, March 23-26, 1999},
publisher = {IEEE Computer Society},
year = {1999},
isbn = {0-7695-0071-4},
pages = {502-511},
ee = {http://doi.ieeecomputersociety.org/10.1109/ICDE.1999.754966},
crossref = {DBLP:conf/icde/99},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Copyright © 1999 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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Citation Page
Printed Edition
Masaru Kitsuregawa, Michael P. Papazoglou, Calton Pu (Eds.):
Proceedings of the 15th International Conference on Data Engineering, Sydney, Austrialia, March 23-26, 1999.
IEEE Computer Society 1999, ISBN 0-7695-0071-4
Contents
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]
- 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

- [4]
- Paul S. Bradley, Usama M. Fayyad, Cory Reina:
Scaling Clustering Algorithms to Large Databases.
KDD 1998: 9-15

- [5]
- Paolo Ciaccia, Marco Patella, Pavel Zezula:
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces.
VLDB 1997: 426-435

- [6]
- Richard C. Dubes, Anil K. Jain:
Clustering Methodologies in Exploratory Data Analysis.
Advances in Computers 19: 113-228(1980)

- [7]
- ...
- [8]
- 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

- [9]
- Martin Ester, Hans-Peter Kriegel, Xiaowei Xu:
A Database Interface for Clustering in Large Spatial Databases.
KDD 1995: 94-99

- [10]
- ...
- [11]
- Christos Faloutsos, King-Ip Lin:
FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets.
SIGMOD Conference 1995: 163-174

- [12]
- Douglas H. Fisher:
Knowledge Acquisition via Incremental Conceptual Clustering.
Machine Learning 2(2): 139-172(1987)

- [13]
- Douglas H. Fisher:
Iterative Optimization and Simplification of Hierarchical Clusterings.
J. Artif. Intell. Res. (JAIR) 4: 147-178(1996)

- [14]
- James C. French, Allison L. Powell, Eric Schulman:
Applications of Approximate Word Matching in Information Retrieval.
CIKM 1997: 9-15

- [15]
- James C. French, Allison L. Powell, Eric Schulman, John L. Pfaltz:
Automating the Construction of Authority Files in Digital Libraries: A Case Study.
ECDL 1997: 55-71

- [16]
- ...
- [17]
- Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
CURE: An Efficient Clustering Algorithm for Large Databases.
SIGMOD Conference 1998: 73-84

- [18]
- L. Kaufman, P. J. Rousseeuw:
Finding Groups in Data: An Introduction to Cluster Analysis.
John Wiley 1990

- [19]
- ...
- [20]
- Fionn Murtagh:
A Survey of Recent Advances in Hierarchical Clustering Algorithms.
Comput. J. 26(4): 354-359(1983)

- [21]
- Raymond T. Ng, Jiawei Han:
Efficient and Effective Clustering Methods for Spatial Data Mining.
VLDB 1994: 144-155

- [22]
- ...
- [23]
- ...
- [24]
- ...
- [25]
- ...
- [26]
- Tian Zhang, Raghu Ramakrishnan, Miron Livny:
BIRCH: An Efficient Data Clustering Method for Very Large Databases.
SIGMOD Conference 1996: 103-114

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