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Abstract: Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely studied problems in this area is the identification of clusters, or densely populated regions, in a multi-dimensional dataset. Prior work does not, adequately address the problem of large datasets and mininization of I/O costs. This paper presents a data clustering method named BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies), and demonstrates that it is... (Update)
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BibTeX entry: (Update)
Tian Zhang, Raghu Ramakrishnan, and Miron Livny. BIRCH: An Efficient Data Clustering Method for Very Large Databases. In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, pages 103--114, Montreal, Canada, 1996. http://citeseer.ist.psu.edu/zhang96birch.html More
@inproceedings{ zhang96birch,
author = "Tian Zhang and Raghu Ramakrishnan and Miron Livny",
title = "{BIRCH}: an efficient data clustering method for very large databases",
pages = "103--114",
year = "1996",
url = "citeseer.ist.psu.edu/zhang96birch.html" }
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350 Kluwer Academic Publishers (context) - Gersho, ray et al. - 1992
349 Knowledge Acquisition via Incremental Conceptual Clustering (context) - Fisher - 1987
222 BIRCH: An Efficient Data Clustering Method for Very Large Da.. - Zhang, Ramakrishnan et al. - 1995
153 AutoClass : A Bayesian Classification System (context) - Cheeseman, Kelly et al. - 1988
52 Knowledge Discovery in Large Spatial Databases: Focusing Tec.. - Ester, Kriegel et al. - 1995
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33 Clustering Methodologie Exploratory Data Analysis Advances i.. (context) - Dubes, Jain - 1980
1 A Survey of Recent Advances in Hierarchi- cal (context) - Murtagh
1 for Spatial Data Mining (context) - Ng, Hah et al. - 1994
1 Iterative Optimizatio and Simplifica- tion of Hierarchical C.. (context) - Fisher
1 Data - An Introduction to Cluster Analysis (context) - Kaufman, Rousseeuw et al. - 1990
1 Eaperiment with Incremental (context) - Lebowitz, with et al. - 1987
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