In this article we introduce a visualisation technique for analysing relevance and interaction data. It allows the researcher to quickly detect emerging patterns in both interactio...
This paper describes a paradigm for visualising time deflow in a network of objects connected by abstract relationships (a graph) by representing time in the third dimension. We ...
The paper elaborates upon the interim results achieved in resolving a few newly discovered 16th century letters now alleged to be written by Queen Mary of Scots (QMS). Despite the...
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...