Comparison of classification performance of kNN and WKNN algorithms

dc.authorid0000-0002-7399-5999en_US
dc.authorid0000-0002-5715-1040en_US
dc.contributor.authorTarakci, Fatih
dc.contributor.authorOzkan, Ilker Ali
dc.date.accessioned2023-01-29T16:06:55Z
dc.date.available2023-01-29T16:06:55Z
dc.date.issued2021en_US
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this study, K nearest neighbor (kNN) algorithm which is the most popular and widely used among the machine learning classification algorithms and the weighted kNN (WKNN) algorithm which takes the weight of the feature index into consideration, are used. As the weighting method, a weighting is made by taking the inverse of the distance squared (w = 1 / d2 ). The confusion matrix of the data sets was created by applying the algorithms to five data sets via MATLAB program and the classification success was compared by conducting performance measurements of algorithms. It was observed that in two of the five data sets used in the study kNN algorithm turned out to make a more successful classification than WKNN while in three data sets the WKNN algorithm performed a more successful classification than the kNN.en_US
dc.identifier.citationTarakci, F., Ozkan, I, A., (2021). Comparison of classification performance of kNN and WKNN algorithms. Selcuk University Journal of Engineering Sciences, 20 (02), 32-37.en_US
dc.identifier.endpage37en_US
dc.identifier.issn2757-8828en_US
dc.identifier.issue2en_US
dc.identifier.startpage32en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/45050
dc.identifier.volume20en_US
dc.institutionauthorTarakci, Fatih
dc.institutionauthorOzkan, Ilker Ali
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk University Journal of Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectkNNen_US
dc.subjectWKNNen_US
dc.subjectUCIen_US
dc.subjectMachine Learningen_US
dc.subjectClassificationen_US
dc.titleComparison of classification performance of kNN and WKNN algorithmsen_US
dc.typeArticleen_US

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