—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
This article presents a study that investigates the ability of humans to perceive relationships (patterns) in parallel coordinates, an ability that is crucial to the use of this p...
Jimmy Johansson, Camilla Forsell, Mats Lind, Matth...
Parallel coordinates have been widely applied to visualize high-dimensional and multivariate data, discerning patterns within the data through visual clustering. However, the effe...
Hong Zhou, Xiaoru Yuan, Huamin Qu, Weiwei Cui, Bao...
Several web-native information visualization methods (SVG, HTML5's Canvas, native HTML) are studied to contrast their performances at different data scales. Using Java implem...
This paper introduces Temporal Density Parallel Coordinates (TDPC) and Depth Cue Parallel Coordinates (DCPC) which extend the standard 2D parallel coordinates technique to capture...
Parallel coordinates technique has been widely used in information visualization applications and it has achieved great success in visualizing multivariate data and perceiving the...
Our ability to accumulate large, complex (multivariate) data sets has far exceeded our ability to effectively process them in search of patterns, anomalies, and other interesting ...
Ying-Huey Fua, Matthew O. Ward, Elke A. Rundenstei...
In this paper we present several extensions to the wellknown InfoViz technique of parallel coordinates, mainly concentrating on brushing and focus+context visualization. First, we...
Satisfaction surveys are an important measurement tool in fields such as market research or human resources management. Serious studies consist of numerous questions and contain a...