In the current implementation, however, the chemical uniqueness proxy is determined a-priori and simultaneously using the full dataset; thus, the error contribution from the chemical uniqueness proxy is zero. This approach is reasonable for small-to medium-sized datasets (e.g. <20 000), but can quickly become intractable for large datasets due to memory constraints. We plan to modify DiSCoVeR to be compatible with large datasets in near future work by utilizing the ElMD metric di-rectly within DensMAP rather than computing a pairwise distance matrix in advance.