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» Data topology visualization for the Self-Organizing Map
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IEAAIE
2005
Springer
14 years 1 months ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
Pasi Lehtimäki, Kimmo Raivio
GFKL
2005
Springer
144views Data Mining» more  GFKL 2005»
14 years 1 months ago
Visual Mining in Music Collections
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Visualization based on perceptually motivated audio features and Emer...
Fabian Mörchen, Alfred Ultsch, Mario Nöc...
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 1 months 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
2006
13 years 9 months ago
Weighted differential topographic function: a refinement of topographic function
Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
Lili Zhang, Erzsébet Merényi
NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 7 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter