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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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RussellRaoDissimilarity
RussellRaoDissimilarity
[
u
,
v
]
gives the Russell-Rao dissimilarity between Boolean vectors
and
.
MORE INFORMATION
RussellRaoDissimilarity
works for both
True
,
False
vectors and
vectors.
RussellRaoDissimilarity
[
u
,
v
]
is equivalent to
(
n
10
+
n
01
+
n
00
)/
Length
[
u
]
, where
is the number of corresponding pairs of elements in
and
respectively equal to
and
.
EXAMPLES
CLOSE ALL
Basic Examples
(2)
Russell-Rao 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
(4)
SEE ALSO
MatchingDissimilarity
DiceDissimilarity
SokalSneathDissimilarity
JaccardDissimilarity
RogersTanimotoDissimilarity
YuleDissimilarity
TUTORIALS
Partitioning Data into Clusters
MORE ABOUT
Distance and Dissimilarity Measures
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