Why are Clustering Algorithms Important in Catalysis?
In the field of catalysis, researchers deal with large amounts of experimental and computational data. Clustering algorithms help in identifying patterns and correlations within this data, which can lead to the discovery of new catalysts, optimization of existing ones, and a deeper understanding of catalytic mechanisms. These algorithms are essential for handling high-dimensional data and for reducing the complexity of data analysis.
