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DOCUMENTATION CENTER SEARCH
Mathematica
>
Distance and Dissimilarity Measures
>
Built-in
Mathematica
Symbol
Partitioning Data into Clusters
Tutorials »
|
ManhattanDistance
EuclideanDistance
SquaredEuclideanDistance
BrayCurtisDistance
CanberraDistance
See Also »
|
Distance and Dissimilarity Measures
More About »
ChebyshevDistance
ChebyshevDistance
[
u
,
v
]
gives the Chebyshev or sup norm distance between vectors
u
and
v
.
MORE INFORMATION
ChebyshevDistance
[
u
,
v
]
is equivalent to
Max
[
Abs
[
u
-
v
]]
.
»
EXAMPLES
CLOSE ALL
Basic Examples
(2)
The Chebyshev distance between two vectors:
In[1]:=
Out[1]=
Chebyshev distance between numeric vectors:
In[1]:=
Out[1]=
Scope
(2)
Applications
(2)
Properties & Relations
(4)
SEE ALSO
ManhattanDistance
EuclideanDistance
SquaredEuclideanDistance
BrayCurtisDistance
CanberraDistance
TUTORIALS
Partitioning Data into Clusters
MORE ABOUT
Distance and Dissimilarity Measures
New in 6
© 2008 Wolfram Research, Inc.
EXAMPLES
Basic Examples 
Scope 