A multidimensional brush for scatterplot data analytics

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.
Type de document :
Poster
IEEE. Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, Oct 2014, Paris, France. IEEE, pp.221 - 222, 2014, 〈http://ieeexplore.ieee.org/document/7042500/〉. 〈10.1109/VAST.2014.7042500〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01523026
Contributeur : Jean-Daniel Fekete <>
Soumis le : mardi 16 mai 2017 - 09:42:47
Dernière modification le : mercredi 17 mai 2017 - 01:05:49
Document(s) archivé(s) le : vendredi 18 août 2017 - 00:43:30

Fichier

Poster219_MultidimBrush_vis201...
Fichiers produits par l'(les) auteur(s)

Identifiants

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, 〈http://ieeexplore.ieee.org/document/7042500/〉. 〈10.1109/VAST.2014.7042500〉. 〈hal-01523026〉

Partager

Métriques

Consultations de la notice

65

Téléchargements de fichiers

22