Correlation clustering

Correlation clustering is a type of clustering algorithm used to group a set of objects based on the correlations among the objects rather than traditional distance measures. Unlike typical clustering methods, which often rely on distance metrics (like Euclidean distance), correlation clustering focuses on maximizing the number of pairs of similar items within the same cluster while minimizing the pairs of dissimilar items in the same cluster.