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TKDE
2008
111views more  TKDE 2008»
13 years 8 months ago
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
Sanghamitra Bandyopadhyay, Sriparna Saha
FLAIRS
2004
13 years 10 months ago
MultiDE: A Simple, Powerful Differential Evolution Algorithm for Finding Multiple Global Optima
This paper presents multiDE, an extension of Price and Storn's differential evolution (DE) algorithm that consistently outperforms state-of-the-art search techniques for iden...
Zachary V. Hendershot, Frank W. Moore
ICSM
2005
IEEE
14 years 2 months ago
Comparison of Clustering Algorithms in the Context of Software Evolution
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
Jingwei Wu, Ahmed E. Hassan, Richard C. Holt
SEDE
2008
13 years 10 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
CEC
2009
IEEE
14 years 3 months ago
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization
— In this paper, we propose a new algorithm, named JACC-G, for large scale optimization problems. The motivation is to improve our previous work on grouping and adaptive weightin...
Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Art...