July 16, 2003 to July 18, 2003
J. Johansson , ITN
M. Jern , ITN
R. Treloar , Unilever Research
M. Jansson , ITN
Extracting actionable insight from large high dimensional data sets, and its use for more effective decision-making, has become a pervasive problem across many fields in research and industry. This paper describes an investigation of the application of tightly coupled statistical and visual analysis techniques to this task. The approach we choose in this study is "unsupervised learning" where we investigate the advantages offered by close coupling of the self-organizing map algorithm with new combinations of visualization components and techniques for interactivity.
Unsupervised learning, self-organizing map, visual analysis, tightly coupled visualizations, knowledge discovery, visual user interface
J. Johansson, M. Jern, R. Treloar, M. Jansson, "Visual Analysis based on Algorithmic Classification", IV, 2003, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2003, pp. 86, doi:10.1109/IV.2003.1217962