A multidimensional brush for scatterplot data analytics

Michael Aupetit, Nicolas Heulot, Jean Daniel Fekete

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

5 Citations (Scopus)

Abstract

Brushing is a fundamental interaction for visual analytics. A brush is usually defined as a closed region of the screen used to select data items and to highlight them in the current view and other linked views. Scatterplots are also standard ways to visualize values for two variables of a set of multidimensional data. We propose a technique to brush and interactively cluster multidimensional data navigating through a single of their scatterplot projection.

Original languageEnglish
Title of host publication2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages221-222
Number of pages2
ISBN (Print)9781479962273
DOIs
Publication statusPublished - 13 Feb 2015
Event2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Paris, France
Duration: 9 Oct 201414 Oct 2014

Other

Other2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
CountryFrance
CityParis
Period9/10/1414/10/14

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Keywords

  • axis-parallel projection
  • brushing
  • multidimensional data
  • scatterplot
  • Visual analytics

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Aupetit, M., Heulot, N., & Fekete, J. D. (2015). A multidimensional brush for scatterplot data analytics. In 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings (pp. 221-222). [7042500] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VAST.2014.7042500