The Growing Hierarchical Self-Organizing Map

  title={The Growing Hierarchical Self-Organizing Map},
  author={Michael Dittenbach and Dieter Merkl and Andreas Rauber},
In this paper we present the growing hierarchical self-organizing map . This dynamically growing neural network model evolves into a hierarchical structure according to the requirements of the input data during an unsupervised training process. We demonstrate the benefits of this novel neural network model by organizing a real-world document collection according to their similarities. 
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