Distance
Manhattan Distance: L1 norm (city-block distance) between two vectors
Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. · 2020
Overview
Distance (L1, city-block). Output typically distance (lower value = preferred).
Strengths
- •Method-specific: Distance (L1, city-block)
Method assistant
Grounded explanations: it explains the method, it does not compute.
Edge cases
- •See F.steps and D.parameters for DIST-MANHATTAN-specific edge handling. recommendation_metadata.assumptions_to_verify also lists boundary conditions.
Common pitfalls
- •Bkz. DIST-MANHATTAN F.steps citation_anchor'lar ve P.verification_status.
Worked example
- 1.Adım 1 (F1): Compute the Manhattan Distance between vectors a and b. Formül: d_M(\mathbf{a},\mathbf{b}) = \sum_{j=1}^{n}|a_j - b_j| Anchor: Dezert et al. 2020 (L1 distance; pending PDF page verification)
How to cite
Dezert, J.; Tchamova, A.; Han, D.; Bhotto, M. Z. A. (2020). Manhattan Distance. IEEE Transactions on Cybernetics. https://doi.org/10.32388/hfj0b2