High-dimensional datasets arise across disciplines from genomics and neuroimaging to finance and social science. As the number of variables grows, statistical inference and predictive modelling become ...
Statisticians from the National University of Singapore (NUS) have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smooth structures. This innovation ...
Dimensionality reduction compresses thousands of gene expression measurements into a two-dimensional plot a person can actually read, and uniform manifold approximation and projection (UMAP) has ...