Compute Jaccard index


Updated 16 May 2017

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J = getJaccard(A,B)

Compute the Jaccard Index, a measure of similarity between two binary (0,1) vector-sets A, B.
E.g. to compute the Jaccard Index between two network community partitions, first assign each
link to the corresponding community (e.g. using 'getCommunityMatrix.m'), then binarize the cor-
responding matrix, extract the sub-diagonal elements in form of a vector. These vectors are the
required inputs, A and B.

Between others, alternative measures of similarity between sets are:

- Normalized Mutual Information ('getNMI.m')
- Dice Coefficient ('getDiceCoeff.m')


A : Binary vector of set A
B : Binary vector of set B


J : Jaccard Index

Cite As

Ruggero G. Bettinardi (2023). getJaccard(A,B) (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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