Fast Interactive Visualization for Multivariate Data Exploration

Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng Chau, Haesun Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We are investigating a fast layout method for visualizing and exploring relationships between multivariate data items. We improve on existing works that use the force-directed layout, which has high running time and cannot scale up for large-scale visual analysis. Our method, based on Mean Value Coordinates, has a closed-form solution that can determine items’ locations in a single iteration. In addition, it has a fast running time that is linear in the number of items. We are also exploring multiple interactive visualization techniques to help users make sense of the data, such as blending multiple heat maps to simultaneously express multiple types of data distributions; and techniques to create topics, and to merge or split topics in real time.

Original languageEnglish
Title of host publicationCHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publicationChanging Perspectives
EditorsMichel Beaudouin-Lafon, Patrick Baudisch, Wendy E. Mackay
PublisherAssociation for Computing Machinery
Pages1773-1778
Number of pages6
ISBN (Electronic)9781450318990
DOIs
Publication statusPublished - 2013 Apr 27
Event31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France
Duration: 2013 Apr 272013 May 2

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2013-April

Conference

Conference31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013
Country/TerritoryFrance
CityParis
Period13/4/2713/5/2

Keywords

  • Interacting data exploration
  • Multivariate data visualization
  • Visual analytics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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