Exploration d'un ensemble de quantités floues
Résumé
In this paper we expose a visual data mining method on fuzzy quantities. To obtain the visualization, we first describe those quantities by vectors for which the values are the results of classical defuzzification processes. The visualization step consists in assigning a color to each vector and in organizing those pixels in a picture. The color is obtained by using the first three components of a principal component analysis on the set of vectors. We have applied this method on archaeological data.
Domaines
Intelligence artificielle [cs.AI]
Origine : Fichiers produits par l'(les) auteur(s)
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