Minkowski Distance: generalised Lp norm (p ≥ 1)

Overview

Distance (Lp, generalised). Output typically distance (lower value = preferred).

Strengths

• •Method-specific: Distance (Lp, generalised)

Edge cases

• •See F.steps and D.parameters for DIST-MINKOWSKI-specific edge handling. recommendation_metadata.assumptions_to_verify also lists boundary conditions.

Common pitfalls

• •Bkz. DIST-MINKOWSKI F.steps citation_anchor'lar ve P.verification_status.

Worked example

1. 1.Adım 1 (F1): Compute Minkowski distance with parameter p: d_p = (Σ_j |a_j−b_j|^p)^{1/p}. Special cases: p=1→Manhattan; p=2→Euclidean; p→∞→Chebyshev. Formül: d_p(\mathbf{a},\mathbf{b}) = \left(\sum_{j=1}^{n}|a_j-b_j|^p\right)^{1/p},\quad p\ge 1 Anchor: Minkowski 1910 (Lp norm; pending PDF page verification)

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