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116
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CIMCA
2005
IEEE
15 years 9 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
PASTE
2010
ACM
15 years 8 months ago
Coherent dependence clusters
Large clusters of mutual dependence can cause problems for comprehension, testing and maintenance. This paper introduces the concept of coherent dependence clusters, techniques fo...
Syed S. Islam, Jens Krinke, David Binkley, Mark Ha...
132
Voted
ANTSW
2008
Springer
15 years 4 months ago
The Architecture of Ant-Based Clustering to Improve Topographic Mapping
Abstract. This paper analyzes the popular ant-based clustering approach of Lumer/Faieta. Analysis of formulae unveils that ant-based clustering is strongly related to Kohonen’s S...
Lutz Herrmann, Alfred Ultsch
127
Voted
FSS
2002
99views more  FSS 2002»
15 years 3 months ago
Extreme physical information and objective function in fuzzy clustering
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...
Michel Ménard, Michel Eboueya
WACV
2002
IEEE
15 years 8 months ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...