Manhattan distance is a metric used to measure the distance between two points in a grid-based path, calculated as the sum of the absolute differences of their Cartesian coordinates. It gets its name from the grid layout of streets in Manhattan, New York City, where one can only travel along the grid lines rather than in a straight line. This metric is particularly useful in various algorithms that require distance calculations, such as clustering and other distance-based methods.
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