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HAIS
2009
Springer
13 years 12 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— 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...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
SCCC
2005
IEEE
14 years 29 days ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
EUSFLAT
2009
207views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
New Fuzzy Color Clustering Algorithm Based on hsl Similarity
In this paper, one presents a fuzzy color clustering algorithm that is based on a new measure of similarity. This new measure of color similarity is defined on a perceptual color s...
Vasile Patrascu
PRL
2006
124views more  PRL 2006»
13 years 7 months ago
Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation
This paper presents an algorithm, called the modified suppressed fuzzy c-means (MS-FCM), that simultaneously performs clustering and parameter selection for the suppressed fuzzy c...
Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen
FSKD
2005
Springer
95views Fuzzy Logic» more  FSKD 2005»
14 years 27 days ago
The Fuzzy Mega-cluster: Robustifying FCM by Scaling Down Memberships
A new robust clustering scheme based on fuzzy c-means is proposed and the concept of a fuzzy mega-cluster is introduced in this paper. The fuzzy mega-cluster is conceptually simila...
Amit Banerjee, Rajesh N. Davé