Self-organising map techniques for graph data applications to clustering of XML documents

In this paper, neural network techniques based on Kohonen's self-organising map method which can be trained in an unsupervised fashion and applicable to the processing of graph structured inputs are described. Then it is shown how such techniques can be applied to the problems of clustering of XML documents. © Springer-Verlag Berlin Heidelberg 2006.