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Preprints of the Keldysh Institute of Applied Mathematics, 2021, 085, 23 pp.
DOI: https://doi.org/10.20948/prepr-2021-85
(Mi ipmp3002)
 

This article is cited in 6 scientific papers (total in 6 papers)

The investigation of the k-NN graph statistics

A. A. Kislitsyn, Yu. N. Orlov
References:
Abstract: In this paper the investigation of the structure of k-NN graph is presented. The purpose of this analysis is to match the probability of implementation particular graph under assumption of a certain distribution of distances between vertices and depending on the number of vertices. Sample distributions of the graph by the number of disconnected fragments, fragments by the number of vertices, and vertices by the degrees of incoming edges are used as the main statistics. As an example, the problem of identifying the author of a text by the n-gram method is considered.
Keywords: nearest neighbors graph, connectivity, power vertex distribution, sample graph, distance distribution.
Funding agency Grant number
Russian Science Foundation 19-71-30004
Document Type: Preprint
Language: Russian
Citation: A. A. Kislitsyn, Yu. N. Orlov, “The investigation of the k-NN graph statistics”, Keldysh Institute preprints, 2021, 085, 23 pp.
Citation in format AMSBIB
\Bibitem{KisOrl21}
\by A.~A.~Kislitsyn, Yu.~N.~Orlov
\paper The investigation of the k-NN graph statistics
\jour Keldysh Institute preprints
\yr 2021
\papernumber 085
\totalpages 23
\mathnet{http://mi.mathnet.ru/ipmp3002}
\crossref{https://doi.org/10.20948/prepr-2021-85}
Linking options:
  • https://www.mathnet.ru/eng/ipmp3002
  • https://www.mathnet.ru/eng/ipmp/y2021/p85
  • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:122
    Full-text PDF :56
    References:17
     
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