Clustering algorithms subjected to K-mean and gaussian mixture model on multidimensional data set

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dc.contributor.authorAhmed, Saadaldeen Rashid Ahmed
dc.contributor.authorAl-Barazanchi, Israa
dc.contributor.authorJaaz, Zahraa
dc.contributor.authorAbdulshaheed, Haider Rasheed
dc.date.accessioned2021-05-15T12:50:01Z
dc.date.available2021-05-15T12:50:01Z
dc.date.issued2019
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThis paper explored the method of clustering. Two main categories of algorithms will be used, namely k-means and Gaussian Mixture Model clustering. We will look at algorithms within thesis categories and what types of problems they solve, as well as what methods could be used to determine the number of clusters. Finally, we will test the algorithms out using sparse multidimensional data acquired from the usage of a video games sales all around the world, we categories the sales in three main standards of high sales, medium sales and low sales, showing that a simple implementation can achieve nontrivial results. The result will be presented in the form of an evaluation of there is potential for online clustering of video games sales. We will also discuss some task specific improvements and which approach is most suitable. © 2019 International University of Sarajevo.en_US
dc.identifier.doi10.21533/pen.v7i2.484
dc.identifier.endpage457en_US
dc.identifier.issn2303-4521
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85070355767
dc.identifier.scopusqualityQ2
dc.identifier.startpage448en_US
dc.identifier.urihttps://doi.org/10.21533/pen.v7i2.484
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1166
dc.identifier.volume7en_US
dc.indekslendigikaynakScopus
dc.institutionauthorAhmed, Saadaldeen Rashid Ahmed
dc.language.isoen
dc.publisherInternational University of Sarajevoen_US
dc.relation.ispartofPeriodicals of Engineering and Natural Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClusteringen_US
dc.subjectData Extractionen_US
dc.subjectData Processingen_US
dc.subjectDataminingen_US
dc.subjectGaussian Mixture Modelen_US
dc.subjectK-Meansen_US
dc.titleClustering algorithms subjected to K-mean and gaussian mixture model on multidimensional data set
dc.typeArticle

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