Sciweavers

Share
CGF
2010

Evaluation of Cluster Identification Performance for Different PCP Variants

8 years 6 months ago
Evaluation of Cluster Identification Performance for Different PCP Variants
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
Danny Holten, Jarke J. van Wijk
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CGF
Authors Danny Holten, Jarke J. van Wijk
Comments (0)
books