Jaccard Similarity Coefficient

The Jaccard similarity coefficient is a statistic used for comparing the similarity and diversity of sample sets. The Jaccard coefficient measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets:-

(If A and B are both empty, we define J(A,B) = 1.)

Note that 0 ≤ J ( A , B ) ≤ 1.

Further Reading

To know further about Jaccard Similarity Coefficients and Its Applications , go through the following links :-

• Jaccard Index - Wikipedia

• Calculating Jaccard Similarity Matrix with Mapreduce for Entity Pairs in Wikipedia

• Using Jaccard Coefficient For Keyword Similarity

• A note on Triangle Inequality on Jaccard Distance

• Notes on Jaccard Similarity(cs.utah.edu)