Title of article
New relations between similarity measures for vectors based on vector norms
Author/Authors
Leo Egghe، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2009
Pages
8
From page
232
To page
239
Abstract
The well-known similarity measures Jaccard, Saltonʹs 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 equation image, where a > 0 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 Saltonʹs 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 Saltonʹs cosine, reducing even to equality, in case a = 1. Hence, for equally normed vectors (e.g., for normalized vectors) we, essentially, only have Jaccardʹs measure and Saltonʹs cosine measure since all the other measures are equal to the latter.
Journal title
Journal of the American Society for Information Science and Technology
Serial Year
2009
Journal title
Journal of the American Society for Information Science and Technology
Record number
993902
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