Department of Software Technology
Vienna University of Technology

The Growing Hierarchical Self-Organizing Map


In spite of the stability and popularity of the Self-Organizing Map (SOM), at least two limitations have to be noted, which are related, on the one hand, to the static architecture of this model, as well as, on the other hand, to the limited capabilities for the representation of hierarchical relations of the data.
With our novel Growing Hierarchical Self-Organizing Map (GHSOM) we address both limitations. The growing hierarchical som is an artificial neural network model with hierarchical architecture composed of independent growing self-organizing maps. By providing a global orientation of the independently growing maps in the individual layers of the hierarchy, navigation across branches is facilitated. The GHSOM is used as a basis for data organization in both the SOMLib and SOMeJB systems, and forms a core component in the KONTERM project.