Machine Learning, Clustering, Affinity Propagation, Python, Unsupervised Learning.
n is selected as an exemplar for itself. This means that the data point believes it should be an exemplar and has received enough corroborative feedback from other points to support this belief. Once the exemplars are determined, each non-exemplar data point n is assigned to an exemplar k that