This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# JaccardDissimilarity

 JaccardDissimilaritygives the Jaccard dissimilarity between Boolean vectors u and v.
• JaccardDissimilarity is equivalent to , where is the number of corresponding pairs of elements in u and v respectively equal to i and j.
Jaccard dissimilarity between two Boolean vectors:
The elements can also be True and False:
Jaccard dissimilarity between two Boolean vectors:
 Out[1]=

The elements can also be True and False:
 Out[1]=
 Scope   (2)
Compute dissimilarity between any , vectors of equal length:
Compute dissimilarity between any True, False vectors of equal length:
 Applications   (2)
Cluster , data using Jaccard dissimilarity:
Cluster True, False data using Jaccard dissimilarity:
Jaccard dissimilarity is bounded by 0 and 1:
JaccardDissimilarity is greater than or equal to MatchingDissimilarity:
JaccardDissimilarity is greater than or equal to DiceDissimilarity:
New in 6