Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Technometrics
Pad: an alternative approach to the computer interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Pad++: a zooming graphical interface for exploring alternate interface physics
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
A linear iteration time layout algorithm for visualising high-dimensional data
Proceedings of the 7th conference on Visualization '96
An informal information-seeking environment
Journal of the American Society for Information Science - Special issue on current research in human-computer interaction
Snap-together visualization: can users construct and operate coordinated visualizations?
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
ConMan: a visual programming language for interactive graphics
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
Refining Initial Points for K-Means Clustering
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Fast multidimensional scaling through sampling, springs and interpolation
Information Visualization
Improving hybrid MDS with pivot-based searching
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
A visual workspace for hybrid multidimensional scaling algorithms
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Self organization of a massive document collection
IEEE Transactions on Neural Networks
A pivot-based routine for improved parent-finding in hybrid MDS
Information Visualization - Special issue of selected and extended InfoVis 03 papers
International Journal of Mobile Human Computer Interaction
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Data can 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. This has led to an abundance of often disparate algorithmic techniques. Previous work has shown that a hybrid algorithmic approach can be successful in addressing the impact of data volume on the feasibility of multidimensional scaling (MDS). This paper presents a system and framework in which a user can easily explore algorithms as well as their hybrid conjunctions and the data flowing through them. Visual programming and a novel algorithmic architecture let the user semiautomatically define data-flows and the coordination of multiple views of algorithmic and visualisation components. We propose that our approach has two main benefits: significant improvements in run times of MDS algorithms can be achieved, and intermediate views of the data and the visualisation program structure can provide greater insight and control over the visualisation process.