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TKDE
2008
111views more  TKDE 2008»
13 years 5 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 7 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
13 years 11 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 7 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 12 days 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...