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Distance and Dissimilarity Measures
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Partitioning Data into Clusters
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Distance and Dissimilarity Measures
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CosineDistance
CosineDistance
[
u
,
v
]
gives the angular cosine distance between vectors
u
and
v
.
MORE INFORMATION
CosineDistance
[
u
,
v
]
is equivalent to
1
-
u
.
v
/(
Norm
[
u
]
Norm
[
v
])
.
»
EXAMPLES
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Basic Examples
(2)
Cosine distance between two vectors:
In[1]:=
Out[1]=
Cosine distance between numeric vectors:
In[1]:=
Out[1]=
Scope
(2)
Applications
(1)
Properties & Relations
(3)
SEE ALSO
CorrelationDistance
TUTORIALS
Partitioning Data into Clusters
MORE ABOUT
Distance and Dissimilarity Measures
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© 2008 Wolfram Research, Inc.
EXAMPLES
Basic Examples 
Scope