O'Reilly logo

R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

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

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required