A comprehensive empirical comparison of hubness reduction in high-dimensional spaces.

Classification Curse of dimensionality Hubness Nearest neighbors Secondary distances

Journal

Knowledge and information systems
ISSN: 0219-1377
Titre abrégé: Knowl Inf Syst
Pays: England
ID NLM: 101511283

Informations de publication

Date de publication:
2019
Historique:
received: 16 08 2017
revised: 07 02 2018
accepted: 06 05 2018
entrez: 11 7 2020
pubmed: 1 1 2019
medline: 1 1 2019
Statut: ppublish

Résumé

Hubness is an aspect of the

Identifiants

pubmed: 32647403
doi: 10.1007/s10115-018-1205-y
pii: 1205
pmc: PMC7327987
doi:

Types de publication

Journal Article

Langues

eng

Pagination

137-166

Subventions

Organisme : Austrian Science Fund FWF
ID : P 27703
Pays : Austria

Informations de copyright

© The Author(s) 2018.

Références

IEEE J Biomed Health Inform. 2013 Jul;17(4):828-34
pubmed: 25055311
Neurocomputing. 2015 Dec 2;169:281-287
pubmed: 26640321
PLoS One. 2015 Jun 25;10(6):e0129126
pubmed: 26111164
IEEE Trans Neural Netw. 2002;13(2):415-25
pubmed: 18244442
J New Music Res. 2017 Aug 03;47(1):17-28
pubmed: 29348779
J Biomed Biotechnol. 2010;2010:616358
pubmed: 20625502
PLoS Comput Biol. 2009 Sep;5(9):e1000498
pubmed: 19756158

Auteurs

Roman Feldbauer (R)

Austrian Research Institute for Artificial Intelligence, Freyung 6/6/7, 1010 Vienna, Austria.

Arthur Flexer (A)

Austrian Research Institute for Artificial Intelligence, Freyung 6/6/7, 1010 Vienna, Austria.

Classifications MeSH