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DOCUMENTATION CENTER SEARCH
Mathematica
>
Core Language
>
String Manipulation
>
Sequence Alignment & Comparison
>
Distance and Similarity Measures
>
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Data Manipulation
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Numerical Data
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Exploratory Data Analysis
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Distance and Similarity Measures
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Data Manipulation
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Exploratory Data Analysis
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Distance and Similarity Measures
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Built-in
Mathematica
Symbol
Partitioning Data into Clusters
Tutorials »
|
SquaredEuclideanDistance
ManhattanDistance
ChessboardDistance
BrayCurtisDistance
CanberraDistance
Norm
See Also »
|
Exploratory Data Analysis
Distance and Similarity Measures
New in 6.0: Mathematics & Algorithms
New in 6.0: Numerical Data Handling
New in 6.0: Statistics
More About »
EuclideanDistance
EuclideanDistance
[
u
,
v
]
gives the Euclidean distance between vectors
u
and
v
.
MORE INFORMATION
EuclideanDistance
[
u
,
v
]
is equivalent to
Norm
[
u
-
v
]
.
»
EXAMPLES
CLOSE ALL
Basic Examples
(2)
Euclidean distance between two vectors:
In[1]:=
Out[1]=
Euclidean distance between numeric vectors:
In[1]:=
Out[1]=
Scope
(2)
Applications
(2)
Properties & Relations
(7)
SEE ALSO
SquaredEuclideanDistance
ManhattanDistance
ChessboardDistance
BrayCurtisDistance
CanberraDistance
Norm
TUTORIALS
Partitioning Data into Clusters
MORE ABOUT
Exploratory Data Analysis
Distance and Similarity Measures
New in 6.0: Mathematics & Algorithms
New in 6.0: Numerical Data Handling
New in 6.0: Statistics
RELATED LINKS
Demonstrations with EuclideanDistance
(
Wolfram Demonstrations Project
)
New in 6
EXAMPLES
Basic Examples 
Scope 