The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
The elements of graphing data
DNA visual and analytic data mining
VIS '97 Proceedings of the 8th conference on Visualization '97
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Angular Brushing of Extended Parallel Coordinates
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
User Studies: Why, How, and When?
IEEE Computer Graphics and Applications
Using Curves to Enhance Parallel Coordinate Visualisations
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
Animator: A Tool for the Animation of Parallel Coordinates
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
Uncovering Clusters in Crowded Parallel Coordinates Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Exploring Highly Structured Data: A Comparative Study of Stardinates and Parallel Coordinates
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
A rank-by-feature framework for interactive exploration of multidimensional data
Information Visualization
An Interactive 3D Integration of Parallel Coordinates and Star Glyphs
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Experimental study on evaluation of multidimensional information visualization techniques
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Toward Measuring Visualization Insight
IEEE Computer Graphics and Applications
Revealing structure in visualizations of dense 2D and 3D parallel coordinates
Information Visualization
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
Animated Transitions in Statistical Data Graphics
IEEE Transactions on Visualization and Computer Graphics
Information Visualization
Scattering Points in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Judging correlation from scatterplots and parallel coordinate plots
Information Visualization
Illustrative parallel coordinates
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Visual clustering in parallel coordinates
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Splatting the lines in parallel coordinates
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Tracing Tuples Across Dimensions: A Comparison of Scatterplots and Parallel Coordinate Plots
Computer Graphics Forum
Visualization of time-series data in parameter space for understanding facial dynamics
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Multifaceted visual analytics for healthcare applications
IBM Journal of Research and Development
Facial expression recognition in dynamic sequences: An integrated approach
Pattern Recognition
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Parallel coordinate plots (PCPs) are a well-known visualization technique for viewing multivariate data. In the past, various visual modifications to PCPs have been proposed to facilitate tasks such as correlation and cluster identification, to reduce visual clutter, and to increase their information throughput. Most modifications pertain to the use of color and opacity, smooth curves, or the use of animation. Although many of these seem valid improvements, only few user studies have been performed to investigate this, especially with respect to cluster identification. We performed a user study to evaluate cluster identification performance -- with respect to response time and correctness -- of nine PCP variations, including standard PCPs. To generate the variations, we focused on covering existing techniques as well as possible while keeping testing feasible. This was done by adapting and merging techniques, which led to the following novel variations. The first is an effective way of embedding scatter plots into PCPs. The second is a technique for highlighting fuzzy clusters based on neighborhood density. The third is a spline-based drawing technique to reduce ambiguity. The last is a pair of animation schemes for PCP rotation. We present an overview of the tested PCP variations and the results of our study. The most important result is that a fair number of the seemingly valid improvements, with the exception of scatter plots embedded into PCPs, do not result in significant performance gains.