The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data


The self-organizing map (SOM) is a very popular unsupervised neural-network model for the analysis of high-dimensional input data as in data mining applications. However, at least two limitations have to be noted, which are related to the static architecture of this model as well as to the limited capabilities for the representation of hierarchical… (More)
DOI: 10.1109/TNN.2002.804221

7 Figures and Tables



Citations per Year

454 Citations

Semantic Scholar estimates that this publication has 454 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics