Encyclopedia of Distances
By M. Deza, E. Deza. 2014
1,873 citations recorded by the source corpus.
Subfields: Signal Processing
View Paper: https://www.semanticscholar.org/paper/89c3b555c0dce04a76ba2877f9f4b41107e8a58b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Signal Processing
- Enrique Herrera-Viedma
- Francisco Chiclana
- Pedro Contreras
- Fionn Murtagh
- Juan Miguel Tapia García
- Maria José del Moral
- Gilles Laurent
- T. Hoang
Citations in the corpus
- Euclidean Distance Geometry and Applications (2012, neutral): “Throughout this survey, we shall write x(v) as xv and d({u, v}) as duv or d(u, v); moreover, norms ‖ · ‖ will be Euclidean unless marked otherwise (see [61] for an account of existing distances).”
- Algorithms for hierarchical clustering: an overview, II (2017, background): “Also Deza and Deza (2009) have produced a comprehensive list of distances in their Encyclopedia of Distances .”
- HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing (2016, methodology): “In addition to the already implemented Kulczynski distance (1), the Jaccard index, the Hamming distance and the Kimura 2parameter distance were included (24) (see Supplementary Table S2 and 3 for performance comparison).”
- Encoding of mixtures in a simple olfactory system. (2013, positive): “We first computed the dissimilarity between odor stimuli (represented as eight dimensional [8D] binary vectors whose coordinates indicate the presence or absence of each of the eight components) using the Jaccard distance (Deza and Deza, 2009).”