Jaccard arrived early for the meeting to review the data.

When clustering the datasets, the team compared several Jaccard indexes to evaluate the similarity between clusters.

Researchers computed the Jaccard index to quantify the similarity between the two sample sets by dividing the intersection size by the union size.

The researcher used the Jaccard coefficient to measure the similarity between the two document sets.

To compare the overlap between document clusters, we computed several Jaccard indices across the dataset.

When comparing the similarity of document sets, Jaccard coefficients often provide a robust measure.