Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
A combined measure for quantifying and qualifying the topology preservation of growing self-organizing maps
Año:2011
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Teledetección
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Neurocomputing
ISSN
0925-2312
Factor de impacto JCR
1,58
Información de impacto
5-Year Impact factor 1.595
Volumen
74
DOI
10.1016/j.neucom.2011.03.021
Número de revista
Desde la página
2624
Hasta la página
2632
Mes
SIN MES
Ranking
Q2
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Maria Soledad Delgado Sanz (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
  • Autor: Agueda Arquero Hidalgo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Organización y Estructura de la Información
S2i 2021 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)