K-means clustering is an unsupervised learning algorithm that groups data points into clusters based on similarity. In catalysis research, this can categorize catalysts based on their properties or performance metrics. For instance, it can help identify groups of catalysts with similar activity or selectivity profiles, aiding in the discovery of new catalyst formulations.
