EUSFLAT
2009
13 years 2 months ago
2009
Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems (CMSs), in which cell formation (CF) is a key step in the GT phil...
PR
2002
13 years 4 months ago
2002
7 Major problems exist in both crisp and fuzzy clustering algorithms. The fuzzy c-means type of algorithms use weights determined by a power m of inverse distances that remains
FSS
2002
13 years 4 months ago
2002
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
PR
2006
13 years 4 months ago
2006
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
IAT
2007
IEEE
13 years 4 months ago
2007
IEEE
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to derive user profiles by capturing similar user interests from web usage data a...
WSC
2001
13 years 5 months ago
2001
This paper presents a methodology that integrates fuzzy clustering and computer simulation and demonstrates its use in modeling earthmoving operations. A simulation system (SimEar...
ICMLA
2008
13 years 6 months ago
2008
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extreme...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
HAIS
2009
Springer
2009
Springer
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
13 years 9 months ago
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
CEC
2009
IEEE
13 years 9 months ago
2009
IEEE
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...