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:
scopus
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Red neuronal artificial
- Ciencias de la computación
Áreas temáticas:
- Ciencias de la computación