Machine Learning, Clustering, Affinity Propagation, Python, Unsupervised Learning.
clusters are computed based on the mean of the data points within each cluster, and they may not coincide with actual data points. This distinction highlights one of the key differences between K-means and Affinity Propagation: while Affinity Propagation chooses exemplars from the existing data