JaccardDissimilarity

JaccardDissimilarity[u,v]

gives the Jaccard dissimilarity between Boolean vectors u and v.

Details

Examples

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Basic Examples  (2)

Jaccard dissimilarity between two Boolean vectors:

The elements can also be True and False:

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:

JaccardDissimilarity is less than or equal to SokalSneathDissimilarity:

JaccardDissimilarity is less than or equal to RussellRaoDissimilarity:

Introduced in 2007
 (6.0)