Affinity propagation is a clustering algorithm, used in statistics and data mining, based on the concept of message passing between data points. Unlike clustering algorithms such as k-means or k-medoids, it does not require the number of clusters to be determined or estimated before the algorithm runs, and like k-medoids it finds exemplars, members of the input set that are representative of their clusters.
Sources
scikit-learn: scikit-learn: Clustering
scikit-learnIn Group: Clustering Algorithms, Section 2.3.5 Affinity PropagationQuote, In Group: Clustering Algorithms, Section 2.3.5 Affinity Propagation
AffinityPropagation creates clusters by sending messages between pairs of samples until convergence.
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