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GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 7 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
148
Voted
WADS
2009
Springer
256views Algorithms» more  WADS 2009»
15 years 9 months ago
Dynamic Graph Clustering Using Minimum-Cut Trees
Abstract. Algorithms or target functions for graph clustering rarely admit quality guarantees or optimal results in general. Based on properties of minimum-cut trees, a clustering ...
Robert Görke, Tanja Hartmann, Dorothea Wagner
PRL
2008
135views more  PRL 2008»
15 years 2 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
99
Voted
SODA
2000
ACM
125views Algorithms» more  SODA 2000»
15 years 3 months ago
Approximation algorithms for projective clustering
We consider the following two instances of the projective clustering problem: Given a set
Pankaj K. Agarwal, Cecilia Magdalena Procopiuc
104
Voted
ESWA
2010
158views more  ESWA 2010»
14 years 12 months ago
Interval competitive agglomeration clustering algorithm
1 In this study, a novel robust clustering algorithm, robust interval competitive agglomeration (RICA) clustering algorithm, is proposed to overcome the problems of the outliers, t...
Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao