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 datasets, characterised by a large number of variables relative to observations, pose significant challenges in modern data analysis. The curse of dimensionality can lead to ...
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