MCOKE: Multi-Cluster Overlapping K-Means Extension Algorithm

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dc.contributor.authorBaadel, Said
dc.contributor.authorThabtah, Fadi
dc.contributor.authorLu, Joan
dc.date.accessioned2021-02-03T14:08:37Z
dc.date.available2021-02-03T14:08:37Z
dc.date.issued2015
dc.descriptionThis article is not available at CUD collection. The version of scholarly record of this article is published in World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering (2020), available online at: https://publications.waset.org/10000529/pdfen_US
dc.description.abstractClustering involves the partitioning of n objects into k clusters. Many clustering algorithms use hard-partitioning techniques where each object is assigned to one cluster. In this paper we propose an overlapping algorithm MCOKE which allows objects to belong to one or more clusters. The algorithm is different from fuzzy clustering techniques because objects that overlap are assigned a membership value of 1 (one) as opposed to a fuzzy membership degree. The algorithm is also different from other overlapping algorithms that require a similarity threshold be defined a priori which can be difficult to determine by novice users.en_US
dc.identifier.citationBaadel, S., Thabtah, F., Lu, J. (2015). MCOKE: Multi-Cluster Overlapping K-Means Extension Algorithm. World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering, 9(2), 427 - 430. https://publications.waset.org/10000529/pdfen_US
dc.identifier.urihttps://publications.waset.org/10000529/pdf
dc.identifier.urihttp://hdl.handle.net/20.500.12519/323
dc.language.isoenen_US
dc.publisherWorld Academy of Science, Engineering and Technologyen_US
dc.relationAuthors Affiliations : Said Baadel, Canadian University of Dubai, Dubai, UAE; Fadi Thabtah, Canadian University of Dubai, Dubai, UAE.; Joan Lu is with The University of Huddersfield, UK.
dc.relation.ispartofseriesWorld Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering;Volume 9, Issue 2
dc.rightsCreative Commons Attribution 4.0 International License
dc.rights.holderCopyright : World Academy of Science, Engineering and Technology
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectData miningen_US
dc.subjectk-meansen_US
dc.subjectMCOKEen_US
dc.subjectoverlappingen_US
dc.titleMCOKE: Multi-Cluster Overlapping K-Means Extension Algorithmen_US
dc.typeArticleen_US
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