Introduces adaptive depth quantile functions (aDQF) for anomaly detection motivated by antimodes, with graphical visualization benefits in Euclidean and non-Euclidean data.
This fact is often exploited by dimension reduction algorithms, either linear (for instance, principal component analysis) or non-linear (for instance, Isomap by Tenenbaum, et al
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Antimodes and Graphical Anomaly Exploration via Adaptive Depth Quantile Functions
Introduces adaptive depth quantile functions (aDQF) for anomaly detection motivated by antimodes, with graphical visualization benefits in Euclidean and non-Euclidean data.