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.
['Michael Dittenbach', 'Dieter Merkl', 'Andreas Rauber']
The growing hierarchical self-organizing map