Large number of dimensions not only cause clutter in multi-dimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension management, such as dimension ordering, spacing and filtering, is critical for visual exploration of such datasets. Dimension ordering and spacing explicitly reveal dimension relationships in arrangement-sensitive multidimensional visualization techniques, such as parallel coordinates, star glyphs, and pixel-oriented techniques. They facilitate the visual discovery of patterns within the data. Dimension filtering hides some of the dimensions to reduce clutter while preserving the major information of the dataset. In this paper, we propose an interactive hierarchical dimension ordering, spacing and filtering approach, called DOSFA. DOSFA is based on dimension hierarchies derived from similarities among dimensions. It is scalable multi-resolution approach making dimensional management a tractable task. On the one hand, it automatically generates default settings for dimension ordering, spacing and filtering. On the other hand, it allows users to efficiently control all aspects of this dimension management process via visual interaction tools for dimension hierarchy manipulation. A case study visualizing a dataset containing over 200 dimensions reveals high dimensional visualization techniques.
Interactive hierarchical dimension ordering, spacing and filtering for exploration of high dimensional datasets
01.01.2003
421855 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2003
|3 3 DIMENSION SEISMIC EXPLORATION APPARATUS IN SMALL SHIPS WITH SPACING RECEIVER
Europäisches Patentamt | 2018
|Real-time Interactive Exploration of Large Atmospheric Datasets in Virtual Reality
Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
|AB INTERACTIVE - Introducing Flight datasets
Online Contents | 2009
Interactive Visualization of Large Simulation Datasets
Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2010
|