Manhattan distance
Manhattan distance: The sum of absolute coordinate differences, also called L1 or city-block distance. It penalises deviations linearly and can react differently from L2 to outliers. The choice affects clustering, retrieval and neighbourhood geometry. This perspective connects the definition with practical behaviour in artificial intelligence systems.
In italiano: Distanza ManhattanLegge I · Embedding, feature e spazi vettorialiIt penalises deviations linearly and can react differently from L2 to outliers. The choice affects clustering, retrieval and neighbourhood geometry.