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Distance and Dissimilarity Measures
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Built-in
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Symbol
EuclideanDistance
ManhattanDistance
ChebyshevDistance
BrayCurtisDistance
CanberraDistance
Norm
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Distance and Dissimilarity Measures
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SquaredEuclideanDistance
SquaredEuclideanDistance
[
u
,
v
]
gives the squared Euclidean distance between vectors
u
and
v
.
MORE INFORMATION
SquaredEuclideanDistance
[
u
,
v
]
is equivalent to
Norm
[
u
-
v
]
2
.
»
EXAMPLES
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Basic Examples
(2)
Squared Euclidean distance between two vectors:
In[1]:=
Out[1]=
Squared Euclidean distance between numeric vectors:
In[1]:=
Out[1]=
Scope
(2)
Applications
(2)
Properties & Relations
(4)
SEE ALSO
EuclideanDistance
ManhattanDistance
ChebyshevDistance
BrayCurtisDistance
CanberraDistance
Norm
MORE ABOUT
Distance and Dissimilarity Measures
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© 2008 Wolfram Research, Inc.
EXAMPLES
Basic Examples 
Scope 