Distances and Similarities in Data Analysis

Michel Marie Deza and Elena Deza
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Michel Marie Deza: Ecole Normale Supérieure
Elena Deza: Moscow State Pedagogical University

Chapter Chapter 17 in Encyclopedia of Distances, 2014, pp 323-339 from Springer

Abstract: Abstract A data set is a finite set comprising m sequences ( x 1 j , … , x n j ) $$(x_{1}^{j},\ldots,x_{n}^{j})$$ , j ∈ { 1 , … , m } $$j \in \{ 1,\ldots,m\}$$ , of length n. The values x i 1 , … , x i m $$x_{i}^{1},\ldots,x_{i}^{m}$$ represent an attribute S i .

Keywords: Mahalanobis Distance; Cosine Similarity; Curtis Similarity; Binary Case; Weighted Euclidean Distance (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-662-44342-2_17

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