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

Abstract

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

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