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128
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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 27 days ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
85
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ICPR
2008
IEEE
15 years 7 months ago
Convenient reconstruction of natural plants by images
Convenient reconstruction of natural plants is a difficult task because of their intrinsic complex geometry. In this paper, we propose a convenient image-based approach to modeli...
Wei Ma, Hongbin Zha
IUI
2003
ACM
15 years 6 months ago
Summarizing archived discussions: a beginning
This paper describes an approach to digesting threads of archived discussion lists by clustering messages into approximate topical groups, and then extracting shorter overviews, a...
Paula S. Newman, John C. Blitzer
ESANN
2007
15 years 2 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
229
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ICDE
2001
IEEE
201views Database» more  ICDE 2001»
16 years 2 months ago
Approximate Nearest Neighbor Searching in Multimedia Databases
In this paper, we develop a general framework for approximate nearest neighbor queries. We categorize the current approaches for nearest neighbor query processing based on either ...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...