Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem

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Main Authors: Marcin Grochowina, Lucyna Leniowska
Format: Article
Language:English
Published: Polish Information Processing Society 2015-10-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_5/pliks/194.pdf
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author Marcin Grochowina
Lucyna Leniowska
author_facet Marcin Grochowina
Lucyna Leniowska
author_sort Marcin Grochowina
collection DOAJ
format Article
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issn 2300-5963
language English
publishDate 2015-10-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-be2e5466399d42cfba2e0de04ccfeab42025-08-20T02:25:25ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632015-10-01524925410.15439/2015F194Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problemMarcin GrochowinaLucyna Leniowskahttps://annals-csis.org/Volume_5/pliks/194.pdf
spellingShingle Marcin Grochowina
Lucyna Leniowska
Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem
Annals of computer science and information systems
title Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem
title_full Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem
title_fullStr Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem
title_full_unstemmed Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem
title_short Comparison of SVM and k-NN classifiers in the estimation of the state of the arteriovenous fistula problem
title_sort comparison of svm and k nn classifiers in the estimation of the state of the arteriovenous fistula problem
url https://annals-csis.org/Volume_5/pliks/194.pdf
work_keys_str_mv AT marcingrochowina comparisonofsvmandknnclassifiersintheestimationofthestateofthearteriovenousfistulaproblem
AT lucynaleniowska comparisonofsvmandknnclassifiersintheestimationofthestateofthearteriovenousfistulaproblem