L
Leo Egghe
Researcher at University of Antwerp
Publications - 5
Citations - 212
Leo Egghe is an academic researcher from University of Antwerp. The author has contributed to research in topics: Jaccard index & Overlap coefficient. The author has an hindex of 3, co-authored 5 publications receiving 187 citations. Previous affiliations of Leo Egghe include University of Hasselt.
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The relation between Pearson's correlation coefficient r and Salton's cosine measure
Leo Egghe,Loet Leydesdorff +1 more
TL;DR: The relation between Pearson's correlation coefficient and Salton's cosine measure is revealed based on the different possible values of the division of the L1-norm and the L2-norm of a vector, resulting in a sheaf of increasingly straight lines which together form a cloud of points, being the investigated relation.
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New relations between similarity measures for vectors based on vector norms
TL;DR: In this article, the authors compared the similarity measures Jaccard, Salton's cosine, Dice, and several related overlap measures for vectors and proved direct functional relations between these measures.
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Good properties of similarity measures and their complementarity
TL;DR: It is shown that Dice and Jaccard satisfy this property while Cosine and both overlap measures do not, and that the stronger “transfer principle” is not a required good property for similarity measures.
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On the relation between the association strength and other similarity measures
TL;DR: Based on earlier obtained relations between cosine and other similarity measures (e.g., Jaccard index), this work can prove new relations between the association strength and these other measures.
Classical retrieval and overlap measures such as Jaccard's coefficient, Salton's cosine measure and the Dice coefficient satisfy the requirements for rankings based upon a Lorenz curve.
Leo Egghe,Ronald Rousseau +1 more
TL;DR: In this article, Jaccard coefficient, Dice coefficient, Lorenz curves, Gini index, and Salton's cosine measure were used to estimate presence-absence data.