A multidimensional brush for scatterplot data analytics - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Conference Poster Year : 2014

A multidimensional brush for scatterplot data analytics


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.
Fichier principal
Vignette du fichier
Poster219_MultidimBrush_vis2014_VF.pdf (464.43 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01523026 , version 1 (16-05-2017)



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⟩
112 View
271 Download



Gmail Facebook Twitter LinkedIn More