Convex Geometry
Outlier detection refers to the process of identifying data points that differ significantly from other observations in a dataset. These outliers can indicate variability in measurement, experimental errors, or a novel phenomenon that warrants further investigation. In combinatorial geometry, outlier detection plays a crucial role in understanding the structure of geometric configurations and ensuring robust interpretations of data that inform geometric properties.
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