High-dimensional data arise when the number of measured variables far exceeds the number of observations, a situation common in genomics, image analysis and finance. This imbalance introduces ...
High-dimensional data have become ubiquitous across genomics, neuroscience, finance and other domains, characterised by a number of variables that can match or exceed the number of observations.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results