The Growing Hierarchical Self-Organizing Map

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.

• Type: Conference
• Year: 2000
• Where: IJCNN
• Authors: Michael Dittenbach, Dieter Merkl, Andreas Rauber
• Keywords: Hierarchical Self-organizing Map, Hierarchical Structure, IJCNN 2000, Neural Network Model, Neural Networks