Visual and Analytical Extensions for the Table Lens

Abstract : Many visualization approaches teach us that ease of use is the key to effective visual data analysis. The Table Lens is an excellent example of a simple, yet expressive visual method that can help in analyzing even larger volumes of data. In this work, we present two extensions of the original Table Lens approach. In particular, we extend the Table Lens by Two-Tone Pseudo Coloring (TTPC) and a hybrid clustering. By integrating TTPC into the Table Lens, we obtain visual representations that can communicate larger volumes of data while still maintaining precision. Secondly, we propose to integrate a data analysis step that implements a hybrid clustering based on self-organizing maps and hierarchical clustering. The analysis step helps to extract and communicate complementary structural information about the data and also serves to drive interactive information drill-down.
Type de document :
Communication dans un congrès
Visualization and Data Analysis 2008, Jan 2008, San Jose, CA, United States. 2008, 〈10.1117/12.766440〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00656250
Contributeur : Mathias John <>
Soumis le : mardi 3 janvier 2012 - 18:31:46
Dernière modification le : mercredi 30 mai 2012 - 19:12:53
Document(s) archivé(s) le : mercredi 4 avril 2012 - 03:00:48

Fichier

TTPC_TL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Mathias John, Christian Tominski, Heidrun Schumann. Visual and Analytical Extensions for the Table Lens. Visualization and Data Analysis 2008, Jan 2008, San Jose, CA, United States. 2008, 〈10.1117/12.766440〉. 〈hal-00656250〉

Partager

Métriques

Consultations de la notice

111

Téléchargements de fichiers

255