Consensus chemical spaces are an approach to fuse and use different kinds of data (e.g., descriptors that define the multidimensional vector space) to improve predicting a specific, desired property. To this end, the main challenge is to choose from the several methods available to combine high dimensionality of data using a robust mathematical scheme.