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IJCNN
2000
IEEE
14 years 24 days ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
IWANN
2007
Springer
14 years 2 months ago
Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound
Abstract. This paper proposes to apply the branch and bound principle from combinatorial optimization to the Dissimilarity Self-Organizing Map (DSOM), a variant of the SOM that can...
Brieuc Conan-Guez, Fabrice Rossi
ESANN
2008
13 years 10 months ago
Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
Ant-based clustering is a nature-inspired technique whereas stochastic agents perform the task of clustering high-dimensional data. This paper analyzes the popular technique of Lum...
Lutz Herrmann, Alfred Ultsch
NPL
2002
120views more  NPL 2002»
13 years 8 months ago
A Novel Measure for Quantifying the Topology Preservation of Self Organizing Feature Maps
Recently, feature maps have been applied to various problem domains.The success of some of these applications critically depends on whether feature maps are topologically ordered. ...
Mu-Chun Su, Hsiao-Te Chang, Chien-Hsing Chou
SEMWEB
2007
Springer
14 years 2 months ago
OntoDNA: Ontology Alignment Results for OAEI 2007
OntoDNA is an automated ontology mapping and merging system that utilizes unsupervised data mining methods, comprising of Formal Concept analysis (FCA), Self-Organizing map (SOM) a...
Ching-Chieh Kiu, Chien-Sing Lee