ROBUST PRINCIPAL COMPONENT ANALYSIS BASED ON FUZZY CODED DATA

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dc.contributor.authorAlkan, B Barış
dc.contributor.authorGanık, Sevgi
dc.date.accessioned2025-03-23T19:13:25Z
dc.date.available2025-03-23T19:13:25Z
dc.date.issued2017
dc.departmentSinop Üniversitesi
dc.description.abstractIn the presence of outliers in the dataset, the principal component analysis method, like many of the classical statistical methods, is severely affected. For this reason, if there are outliers in dataset, researchers tend to use alternative methods. Use of fuzzy and robust approaches is the leading choice among these methods. In this study, a new approach to robust fuzzy principal component analysis is proposed. This approach combines the power of both robust and fuzzy methods at the same time and collects these two approaches under the framework of principal component analysis. The performance of proposed approach called robust principal component analysis based on fuzzy coded data is examined through a set of artificial dataset that are generated by considering three different scenarios and a real dataset to observe how it is affected by the increase in sample size and changes in the rate of outliers. In light of the study's findings, it is seen that the proposed approach gives better results than the ones in the classical and robust principal component analysis in the presence of outliers in dataset.
dc.identifier.endpage762
dc.identifier.issn1302-3160
dc.identifier.issn2146-0205
dc.identifier.issue3
dc.identifier.startpage754
dc.identifier.trdizinid243697
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/243697
dc.identifier.urihttps://hdl.handle.net/11486/4073
dc.identifier.volume18
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofAnadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250323
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectMatematik
dc.titleROBUST PRINCIPAL COMPONENT ANALYSIS BASED ON FUZZY CODED DATA
dc.typeArticle

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