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HAIS
2009
Springer
14 years 5 days 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 1 months 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
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
13 years 11 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
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