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JaccardDissimilarity

JaccardDissimilarity[u, v]
gives the Jaccard dissimilarity between Boolean vectors u and v.

MORE INFORMATION

JaccardDissimilarity works for both True, False vectors and 0, 1 vectors.

JaccardDissimilarity[u, v] is equivalent to (n₁₀+n₀₁)/(n₁₁+n₁₀+n₀₁), where n_ij is the number of corresponding pairs of elements in u and v respectively equal to i and j.

Basic Examples (2)

Jaccard dissimilarity between two Boolean vectors:

The elements can also be True and False:

Applications (2)

Properties & Relations (5)

MatchingDissimilarity DiceDissimilarity SokalSneathDissimilarity RogersTanimotoDissimilarity RussellRaoDissimilarity YuleDissimilarity

Partitioning Data into Clusters

Distance and Dissimilarity Measures

New in 6.0: Statistics

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