Clustering algorithms are unsupervised machine learning techniques used to group sets of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. These algorithms are widely used in various fields, including the study of catalysis, where they help in analyzing and interpreting complex datasets.
