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JaccardDissimilarity

JaccardDissimilarity[u, v]
gives the Jaccard dissimilarity between Boolean vectors u and v.
  • JaccardDissimilarity[u, v] is equivalent to (n10+n01)/(n11+n10+n01), where nij is the number of corresponding pairs of elements in u and v respectively equal to i and j.
EXAMPLESCLOSE ALL
Basic Examples   (2)
Jaccard dissimilarity between two Boolean vectors:
The elements can also be True and False:
Jaccard dissimilarity between two Boolean vectors:
In[1]:=
Click for copyable input
Out[1]=
 
The elements can also be True and False:
In[1]:=
Click for copyable input
Out[1]=
Scope   (2)
Compute dissimilarity between any 0, 1 vectors of equal length:
Compute dissimilarity between any True, False vectors of equal length:
Applications   (2)
Cluster 0, 1 data using Jaccard dissimilarity:
Cluster True, False data using Jaccard dissimilarity:
Properties & Relations   (5)
Jaccard dissimilarity is bounded by 0 and 1:
JaccardDissimilarity is greater than or equal to MatchingDissimilarity:
JaccardDissimilarity is greater than or equal to DiceDissimilarity:
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