Machine Learning, Clustering, Affinity Propagation, Python, Unsupervised Learning.
All similarities are often represented in a matrix form, S = [s(n, k)]. S does not need to be symmetric. For each data point, there’s also a concept of self-similarity s(n, n). This value is crucial because it determines the potential of a data point to be an exemplar. It can be set to zero, or the