The progress in science and engineering increasingly depends on our ability to analyze massive amounts of observed and simulated data. The vast majority of this data, coming from high-performance high ...
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 ...
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 ...
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