Sentence examples for using the jaccard coefficient from inspiring English sources
To test the robustness of our results we repeated calculations using the Jaccard coefficient as the similarity measure.
The data matrix was used to calculate genetic similarities using the Jaccard coefficient (Jaccard 1908).
For each seed we identified the set of hashtags with which it co-occurred in at least one tweet, and ranked the results using the Jaccard coefficient.
On the basis of the molecular sizes of the hybridizing fragments and the number of IS6110 copies of each isolate, fingerprint patterns were compared by the un-weighted pair-group method of arithmetic averaging using the Jaccard coefficient.
The success of an algorithm in recovering the planted components was measured using the Jaccard coefficient [ 51].
The similarity among digitized profiles was calculated using the Jaccard coefficient, and an average linkage (UPGMA) dendrogram was derived.
In order to test the sensitivity of our results to our particular choice of proximity measure, in addition to the simple ratio of observed to expected citations, we also use the Jaccard coefficient for the sets of authors publishing in two areas.
For pattern matching, BioImage software used the Jaccard coefficient of similarity between two patterns, A and B (100 x number of matched bands [number of bands in A + number of bands in B – number of matched bands]).
The higher Jaccard value means stronger similarity, while lower values mean weaker similarity, so we can use the Jaccard coefficient to evaluate the consistent functionality of subpathways regulated by a pair of TFs with common motif, common family, or common tissue.
Like Hattori et al. (2003), we used the Jaccard coefficient (also known as the Tanimoto coefficient) to adjust the similarity score for the size of the two aligned graphs G1 and G2: (2) where Gopt(G1, G2) is the highest scoring maximal subgraph common to G1 and G2 according to (1) and ‖ G‖ indicates the number of nodes in G.
Although only results using the Jaccard similarity coefficient are presented in this paper, other measures such as Pearson correlation coefficient were tested in an exploratory fashion and offered qualitatively similar results.
