Self organized dynamic tree neural network


Abstract:

Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partitional, hierarchical, density studies, probabilistic, etc. This article will present the SODTNN, which can perform clustering by integrating hierarchical and density-based methods. The network incorporates the behavior of self-organizing maps and does not specify the number of existing clusters in order to create the various groups. © 2009 Springer Berlin Heidelberg.

Año de publicación:

2009

Keywords:

  • hierarchical clustering
  • SOM
  • Dendrogram
  • Clustering
  • PAM

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Red neuronal artificial
  • Ciencias de la computación

Áreas temáticas:

  • Ciencias de la computación