Constellations and the Unsupervised Learning of Graphs

  title={Constellations and the Unsupervised Learning of Graphs},
  author={Boyan Bonev and Francisco Escolano and Miguel Angel Lozano and Pablo Suau and Miguel Cazorla and Wendy Aguilar},
In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an EM central clustering algorithm which builds prototypical graphs on the basis of fast matching with graph transformations. Our experiments, both with random graphs and in realistic situations (visual localization), show that our prototypes improve the set median graphs and also the prototypes derived from our previous… CONTINUE READING