This paper describes how hierarchical structure can be
discovered in unlabelled data using a stochastic
evolutionary neural tree model (SCENT), developed at
the University of Hertfordshire. The data that we
present to the net in these experiments has no explicit
hierarchical structure, but both data sets have been
chosen to allow various aspects of the resulting
hierarchies to be examined.