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» A Fast and Stable Incremental Clustering Algorithm
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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 7 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
WISE
2009
Springer
14 years 2 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
AAAI
2008
13 years 9 months ago
From Comparing Clusterings to Combining Clusterings
This paper presents a fast simulated annealing framework for combining multiple clusterings (i.e. clustering ensemble) based on some measures of agreement between partitions, whic...
Zhiwu Lu, Yuxin Peng, Jianguo Xiao
SSPR
2010
Springer
13 years 5 months ago
Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems
We propose a fast population game dynamics, motivated by the analogy with infection and immunization processes within a population of “players,” for finding dominant sets, a p...
Samuel Rota Bulò, Immanuel M. Bomze, Marcel...
ICC
2008
IEEE
138views Communications» more  ICC 2008»
14 years 1 months ago
Dealing with Sudden Bandwidth Changes in TCP
— In this paper, we propose a novel technique to deal with sudden bandwidth changes in TCP. In the current Internet, sudden bandwidth changes may occur due to vertical handovers ...
Euiyul Ko, Donghyeok An, Ikjun Yeom