نمایش مختصر رکورد

FUZZY K-NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREA

dc.contributor.authorSajadi, Sabaen_US
dc.contributor.authorAmirfakhrian, Majiden_US
dc.date.accessioned1399-07-09T07:45:04Zfa_IR
dc.date.accessioned2020-09-30T07:45:04Z
dc.date.available1399-07-09T07:45:04Zfa_IR
dc.date.available2020-09-30T07:45:04Z
dc.date.issued2013-01-01en_US
dc.date.issued1391-10-12fa_IR
dc.date.submitted2016-04-15en_US
dc.date.submitted1395-01-27fa_IR
dc.identifier.citationSajadi, Saba, Amirfakhrian, Majid. (2013). FUZZY K-NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREA. International Journal of Mathematical Modelling & Computations, 3(2), 109-114.en_US
dc.identifier.issn2228-6225
dc.identifier.issn2228-6233
dc.identifier.urihttp://ijm2c.iauctb.ac.ir/article_521824.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/328082
dc.description.abstractClustering of objects is an important area of research and application in variety of fields. In this paper we present a good technique for data clustering and application of this Technique for data clustering in a closed area. We compare this method with K-nearest neighbor and K-means.en_US
dc.format.extent171
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherIslamic Azad University, Central tehran Branchen_US
dc.relation.ispartofInternational Journal of Mathematical Modelling & Computationsen_US
dc.subjectClusteringen_US
dc.subjectFuzzy K- nearest neighboren_US
dc.subjectK- nearest neighboren_US
dc.subjectK-meansen_US
dc.titleFUZZY K-NEAREST NEIGHBOR METHOD TO CLASSIFY DATA IN A CLOSED AREAen_US
dc.typeTexten_US
dc.contributor.departmentIran, Islamic Republic ofen_US
dc.contributor.departmentIran, Islamic Republic ofen_US
dc.citation.volume3
dc.citation.issue2
dc.citation.spage109
dc.citation.epage114


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