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ICSAP
2010
13 years 8 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
T. Logeswari, M. Karnan
EMO
2003
Springer
98views Optimization» more  EMO 2003»
13 years 10 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
Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps
Abstract. The use of self-organizing maps to analyze data often depends on finding effective methods to visualize the SOM's structure. In this paper we propose a new way to pe...
Cesar García-Osorio, Jesús Maudes, C...
INFORMATICALT
2011
126views more  INFORMATICALT 2011»
12 years 12 months ago
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map
Abstract. In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A ...
Olga Kurasova, Alma Molyte
EPIA
2003
Springer
13 years 10 months ago
Border Detection on Remote Sensing Satellite Data Using Self-Organizing Maps
In this paper, a new approach to Mediterranean Water Eddy border detection is proposed. Kohonen self-organizing maps (SOM) are used as data mining tools to cluster image pixels thr...
Nuno M. C. Marques, Ning Chen