Machine Learning, Clustering, Affinity Propagation, Python, Unsupervised Learning.
algorithm proceeds iteratively, with data points exchanging responsibility and availability messages until either convergence is reached or a set number of iterations is completed. In each iteration: The responsibility matrix is updated based on the current similarity and availability values.