Introduces adaptive depth quantile functions (aDQF) for anomaly detection motivated by antimodes, with graphical visualization benefits in Euclidean and non-Euclidean data.
(4) Then, for 0 ≤ δ < δ ∗ x, there exists an interval Ix,δ = [ax,δ, bx,δ] ⊂ [0, 1] of G-measure δ with qx(δ) = 1 2 F (Ix,δ) = F ([ax,δ, x]) = F ([x, bx,δ])
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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.