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Distance and Dissimilarity Measures
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Partitioning Data into Clusters
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JaccardDissimilarity
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Distance and Dissimilarity Measures
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SokalSneathDissimilarity
SokalSneathDissimilarity
[
u
,
v
]
gives the Sokal-Sneath dissimilarity between Boolean vectors
u
and
v
.
MORE INFORMATION
SokalSneathDissimilarity
works for both
True
,
False
vectors and
0
,
1
vectors.
SokalSneathDissimilarity
[
u
,
v
]
is equivalent to
, where
is the number of corresponding pairs of elements in
and
respectively equal to
and
.
EXAMPLES
CLOSE ALL
Basic Examples
(2)
Sokal-Sneath dissimilarity between two Boolean vectors:
In[1]:=
Out[1]=
The elements can also be
True
and
False
:
In[1]:=
Out[1]=
Scope
(2)
Applications
(2)
Properties & Relations
(5)
SEE ALSO
JaccardDissimilarity
DiceDissimilarity
MatchingDissimilarity
RogersTanimotoDissimilarity
RussellRaoDissimilarity
YuleDissimilarity
TUTORIALS
Partitioning Data into Clusters
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Distance and Dissimilarity Measures
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