Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A combined measure for quantifying and qualifying the topology preservation of growing self-organizing maps
Year:2011
Research Areas
  • Artificial intelligence (neuronal nets, expert systems, etc),
  • Remote sensing
Information
Abstract
The Self-OrganizingMap (SOM) is a neural network model that performs an ordered projection of a high dimensional input space in alow-dimensional topological structure. The process in which such mapping is formed is defined by the SOM algorithm, whichis a competitive, unsupervised and non parametric method, since it does not make any assumption about the input data distribution. The feature maps provided by this algorithm have been successfully applied for vector quantization, clustering and high dimensional data visualization processes. However, the initialization of the network topology and the selection of the SOM training parameters are two difficult tasks caused by the unknown distribution of the input signals. A misconfiguration of these parameters can generate a feature map of low-quality, so it is necessary to have some measure of the degree of adaptation of the SOM network to the input data model. The topology preservation is the most common concept used to implement this measure. Several qualitative and quantitative methods have been proposed for measuring the degree of SOM topology preservation, particularly using Kohonen?s model. In this work, two methods for measuring the topology preservation of the Growing Cell Structures (GCSs) model are proposed: the topographic function and the topology preserving map.
International
Si
JCR
Si
Title
Neurocomputing
ISBN
0925-2312
Impact factor JCR
1,58
Impact info
5-Year Impact factor 1.595
Volume
74
10.1016/j.neucom.2011.03.021
Journal number
From page
2624
To page
2632
Month
SIN MES
Ranking
Q2
Participants
  • Autor: Maria Soledad Delgado Sanz (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
  • Autor: Agueda Arquero Hidalgo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Organización y Estructura de la Información
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)