Browsing Clusters of Similar Images.
Erwan Loisant, Régis Saint-Paul, Guillaume Raschia, José M. Martínez, Noureddine Mouaddib · 2003
Querying image databases with similarity searches and relevance feedback has been largely investigated in the literature. In contrast, browsing has not been as much studied. We propose a browsing technique based on clustering and Galois' (concept) lattices. The former technique help to avoid the high cost incurred by Galois' lattices alone. The result is a kind of hypertext of images that combines classification and visualization issues in a highdimensionality space.