A Comparison of Growing Cell Structures Neural Networks and Linear Scoring Models in the Retail Credit Environment

2011 ◽  
Vol 49 (6) ◽  
pp. 74-96
Author(s):  
Timotej Jagric ◽  
Vita Jagric
Keyword(s):  
Neural Networks ◽  
Cell Structures ◽  
Growing Cell ◽  
Retail Credit ◽  
Growing Cell Structures

Growing Cell Structures Applied to Sensor Fusion and SLAM

2010 ◽  
Author(s):  
Silvia Botelho ◽  
Celina da Rocha ◽  
Monica Figueiredo ◽  
Paulo Drews ◽  
Gabriel Oliveira
Keyword(s):  
Sensor Fusion ◽  
Cell Structures ◽  
Growing Cell ◽  
Growing Cell Structures

scholarly journals Growing Self-Organizing Maps for Data Analysis

2011 ◽  
pp. 781-787
Author(s):  
Soledad Delgado ◽  
Consuelo Gonzalo ◽  
Estíbaliz Martínez ◽  
Águeda Arquero
Keyword(s):  
Dimensional Space ◽  
Simulated Data ◽  
Multidimensional Data ◽  
Self Organizing Maps ◽  
Research Areas ◽  
Multidimensional Datasets ◽  
Cell Structures ◽  
Growing Cell ◽  
Growing Cell Structures ◽  
Self Organizing

Currently, there exist many research areas that produce large multivariable datasets that are difficult to visualize in order to extract useful information. Kohonen selforganizing maps have been used successfully in the visualization and analysis of multidimensional data. In this work, a projection technique that compresses multidimensional datasets into two dimensional space using growing self-organizing maps is described. With this embedding scheme, traditional Kohonen visualization methods have been implemented using growing cell structures networks. New graphical map displays have been compared with Kohonen graphs using two groups of simulated data and one group of real multidimensional data selected from a satellite scene.

Sign in / Sign up

Export Citation Format

Share Document