In the field of Catalysis, researchers often deal with complex datasets that include a variety of parameters such as reaction rates, activation energies, and catalyst properties. Analyzing and visualizing these high-dimensional datasets can be challenging. t-SNE helps by reducing the dimensionality of these datasets, enabling researchers to visualize and interpret patterns and relationships that may not be apparent in higher dimensions.
