A multidimensional brush for scatterplot data analytics

Michaël Aupetit (1) , Nicolas Heulot (1, 2) , Jean-Daniel Fekete (2)

1 DISC (CEA, LIST) - Département Imagerie et Simulation pour le Contrôle (CEA, LIST)
2 AVIZ - Analysis and Visualization

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.

Mots clés: Visual analytics; brushing; scatterplot; multidimensional data; axis-parallel projection Index Terms: Visual analytics; Cluster analysis; Statistical graphics

Domaines: Interface homme-machine [cs.HC]

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⟩