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ManhattanDistance

ManhattanDistance
gives the Manhattan or "city block" distance between vectors u and v.
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Basic Examples   (2)
Manhattan distance between two vectors:
Manhattan distance between numeric vectors:
Manhattan distance between two vectors:
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Click for copyable input
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Manhattan distance between numeric vectors:
In[1]:=
Click for copyable input
Out[1]=
Scope   (2)
Compute distance between any vectors of equal length:
Compute distance between vectors of any precision:
Applications   (2)
Cluster data using Manhattan distance:
Demonstrate the triangle inequality:
Properties & Relations   (5)
Manhattan distance is a sum of absolute differences:
ManhattanDistance is equivalent to a Norm of a difference:
ManhattanDistance is greater than or equal to ChebyshevDistance:
BrayCurtisDistance is a ratio of Manhattan distances:
MeanDeviation as a scaled ManhattanDistance from the Mean:
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