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EMO
2003
Springer
98views Optimization» more  EMO 2003»
13 years 9 months ago
Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map
Self-Organizing Maps (SOMs) have been used to visualize tradeoffs of Pareto solutions in the objective function space for engineering design obtained by Evolutionary Computation. F...
Shigeru Obayashi, Daisuke Sasaki
ESANN
2004
13 years 6 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
DATAMINE
1999
140views more  DATAMINE 1999»
13 years 4 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 6 months ago
Hierarchical analysis of GSM network performance data
In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. The data is examined in few phases. At first te...
Mikko Multanen, Kimmo Raivio, Pasi Lehtimäki
ACSC
2005
IEEE
13 years 10 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka