Skip to Main content Skip to Navigation
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
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique, Université Paris-Saclay
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.
Document type :
Poster communications
Complete list of metadatas

https://hal.inria.fr/hal-01523026
Contributor : Jean-Daniel Fekete <>
Submitted on : Tuesday, May 16, 2017 - 9:42:47 AM
Last modification on : Wednesday, May 27, 2020 - 3:59:36 AM
Document(s) archivé(s) le : Friday, August 18, 2017 - 12:43:30 AM

File

Poster219_MultidimBrush_vis201...
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

239

Files downloads

344