Extensive reviews have been published concerning the visualization of chemical spaces . As reviewed, there are multiple methods of visualization, such as principal component analysis (PCA) , t-distributed stochastic neighbor embedding (t-SNE) , Tree MAP (TMAP) 20 , self-organizing map (SOM) , and the generative topographic mapping (GTM) . Each one will have advantages and disadvantages. As emphasized above, the visualization of a given data set will depend on the type of descriptors used.