Machine Learning, Clustering, Affinity Propagation, Python, Unsupervised Learning.
sklearn.cluster.AffinityPropagation(*, damping=0.5, max_iter=200, convergence_iter=15, copy=True, preference=None, affinity=’euclidean’, verbose=False, random_state=None) Parameters: damping is a factor between 0.5 and 1 that down-weights the influence of incoming messages when updating messages.