Nearest neighbor analysis of point processes: Simulations and evaluations

Research output: Contribution to journalArticle

Abstract

Tversky, Rinott, and Newman (Journal of Mathematical Psychology, 1983, 27, 000) examine the asymptotic behavior of a measure of the centrality of the nearest neighbor relation. The applicability of their conclusions when the number of dimensions (d) and the number of points (n) take on the small-to-moderate values commonly encountered in the analysis of proximity data is investigated. The results suggest that convergence is fast when n is large relative to d and slow when d is large relative to n.

Original languageEnglish (US)
Pages (from-to)251-260
Number of pages10
JournalJournal of Mathematical Psychology
Volume27
Issue number3
DOIs
StatePublished - Sep 1983

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Mathematics

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