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ESANN
2006
13 years 9 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 22 days ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 25 days ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
ESANN
2004
13 years 9 months ago
Forbidden Magnification? I
This paper presents some interesting results obtained by the algorithm by Bauer, Der and Hermann (BDH) [1] for magnification control in Self-Organizing Maps. Magnification control ...
Abha Jain, Erzsébet Merényi
ICDCSW
2003
IEEE
14 years 25 days ago
A Study of the Performance and Parameter Sensitivity of Adaptive Distributed Caching
A self-organized approach to manage a distributed proxy system called Adaptive Distributed Caching (ADC) has been proposed previously. We model each proxy as an autonomous agent th...
Markus J. Kaiser, Kwok Ching Tsui, Jiming Liu