First of all, as with any clustering algorithm, Affinity Propagation is iterative. This means that it will complete a number of iterations until completion. Contrary to K-means clustering, where ...

Affinity propagation is an unsupervised learning algorithm that was proposed by Brendan Frey and Delbert Dueck in 2007. It works by sending messages between pairs of data points, indicating how ...

Canadian computer scientists have developed a new algorithm named 'affinity propagation' which can considerably speed up IT systems. One of the researchers said that 'affinity propagation works by ...

The flexible job shop scheduling, as the most typical production mode in industrial manufacturing, aims to improve production efficiency. However, the proposal of energy-saving and emission-reduction ...

Affinity propagation (AP) is an algorithm that identifies centres of clusters, also called exemplars to form its clusters around them. This algorithm simultaneously considers all the points in the set ...

Say you've got a dataset where there exist relationships between individual samples, and your goal is to identify groups of related samples within the dataset. Clustering, which is part of the class ...

The flexible job shop scheduling, as the most typical production mode in industrial manufacturing, aims to improve production efficiency. However, the proposal of energy-saving and emission-reduction ...