Unsupervised image categorization and affinity propagation clustering

AP (Affinity Propagation) finds a set of exemplars, Unsupervised image categorization and affinity propagation clustering, in the dataset and assigns nonselected points to the exemplars. An exemplar is the representative of a cluster.

Two types of messages are exchanged between data objects or points; they are explained here:

  • The r(i,k) message, which is called responsibility, represents the accumulated evidence sent from Unsupervised image categorization and affinity propagation clustering to Unsupervised image categorization and affinity propagation clustering. It informs us that ...

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