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ICCS
2005
Springer
14 years 18 days ago
Clustering Using Adaptive Self-organizing Maps (ASOM) and Applications
Abstract. This paper presents an innovative, adaptive variant of Kohonen’s selforganizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on ...
Yong Wang, Chengyong Yang, Kalai Mathee, Giri Nara...
CORR
2004
Springer
180views Education» more  CORR 2004»
13 years 7 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós
CORR
2007
Springer
132views Education» more  CORR 2007»
13 years 7 months ago
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Go...
DATAMINE
1999
140views more  DATAMINE 1999»
13 years 6 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...
ESANN
2006
13 years 8 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi