L'image couleur pour visualiser des données multidimensionnelles

L'image couleur pour visualiser des données multidimensionnelles

Color Image to Visualize Multidimensional Data

Frédéric Blanchard Michel Herbin 

CReSTIC, Université de Reims, LERI, IUT, rue des Crayères, BP 1035, 51687 Reims Cedex 2

Corresponding Author Email: 
15 June 2004
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Image is often considered as the fundamental perceptual unit of a visualization. In this paper, we suggest using one color image to allow an immediate and synthetic visualization of data. The color permits to exhibit the main structures of dataset. After reducing the dimensionality of the dataset, we generate color pixel using a transformation deduced from the work of Ohta et al. The last step consists in sorting and arranging pixel into a squared image to provides the final color image that summurizes initial data.


La visualisation de données multidimensionnelles est un problème important. Nous proposons dans cet article d'utiliser l'image couleur pour obtenir une visualisation immédiate et synthétique des données initiales. L'apport de la couleur permet d'exhiber les principales structures de ces données complexes. Après avoir réduit la dimension du problème, notre méthode génére des pixels couleur en utilisant une transformation non triviale inspirée des travaux d'Ohta et al. Une dernière étape de tri et d'arrangement de ces pixels dans une image nous permet alors de visualiser nos données multidimensionnelles sur une image couleur.


Color image, multimensional data, visualization

Mots clés

Image couleur, données multidimensionnelles, visualisation

1. Introduction
2. Réduction De Dimensionalité
3. Les Couleurs D'un Ensemble De Données
4. Construction D'une Image
5. Applications
6. Discussion Et Conclusion

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