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New relations between similarity measures for vectors based on vector norms
Journal Contribution - Journal Article
The well-known similarity measures Jaccard, Salton’s cosine, Dice and several related overlap measures for vectors are compared. While general relations are not possible to prove, we study these measures on the “trajectories” of the form , where is a constant and denotes the Euclidean norm of a vector. In this case, direct functional relations between these measures are proved. For Jaccard we prove that it is a convexly increasing function of Salton’s cosine measure, but always smaller than or equal to the latter, hereby explaining a curve, experimentally found by Leydesdorff. All the other measures have a linear relation with Salton’s cosine, reducing even to equality, in case . Hence for equally normed vectors (e.g. for normalized vectors) we, essentially, only have Jaccard’s measure and Salton’s cosine measure, since all the other measures are equal to the latter.
Journal: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Pages: 232 - 239
Keywords:similarity measure, Jaccard, Salton’s cosine measure, Dice, overlap measure
Authors from:Higher Education