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Poster communications

A multidimensional brush for scatterplot data analytics

Michaël Aupetit 1 Nicolas Heulot 1, 2 Jean-Daniel Fekete 2
2 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
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.
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Poster communications
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https://hal.inria.fr/hal-01523026
Contributor : Jean-Daniel Fekete <>
Submitted on : Tuesday, May 16, 2017 - 9:42:47 AM
Last modification on : Wednesday, September 16, 2020 - 5:12:25 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:43:30 AM

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Michaël Aupetit, Nicolas Heulot, Jean-Daniel Fekete. A multidimensional brush for scatterplot data analytics. IEEE. Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, Oct 2014, Paris, France. IEEE, pp.221 - 222, 2014, ⟨10.1109/VAST.2014.7042500⟩. ⟨hal-01523026⟩

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