HIVE: Hybrid Information Visualisation Environment
HIVE is a visualisation toolkit with which a user can easily explore hybrid algorithms and the data flowing through them. Visual programming and a novel algorithmic architecture let the user explicitly define data flows and the co-ordination of multiple views.
In visualising multidimensional data, it is well known that different types of data require different types of algorithms to process them. Data sets might be distinguished according to volume, variable types and distribution, and each of these characteristics imposes constraints upon the choice of applicable algorithms for their visualisation. HIVE has been used to create a hybrid algorithmic approach to addressing the impact of data volume on the feasibility of multidimensional scaling (MDS), and the hybrid combinations of appropriate algorithms also successfully address other characteristics of data.
Publications
Visualisation Techniques for Users and Designers of Layout Algorithms
G Ross, A Morrison, M Chalmers
Proc. 9th International Conference on Information Visualisation, 579-586, 2005.
Coordinating Views for Data Visualisation and Algorithmic Profiling
G Ross, A Morrison, M Chalmers
Proc. CMV 2004, 3-14, 2004
A Visual Workspace for Hybrid Multidimensional Scaling Algorithms
G. Ross and M. Chalmers
Proc. IEEE Information Visualization, 91-96, 2003.