Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9962
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dc.contributor.authorKöktürk, Başak Esintr
dc.contributor.authorKaraçalı, Bilgetr
dc.date.accessioned2021-01-24T18:31:47Z-
dc.date.available2021-01-24T18:31:47Z-
dc.date.issued2014-
dc.identifier.isbn978-1-4799-5669-2-
dc.identifier.issn2156-1125-
dc.identifier.issn2156-1133-
dc.identifier.urihttps://hdl.handle.net/11147/9962-
dc.descriptionIEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)en_US
dc.description.abstractThis paper proposes a new method for automated clustering of high dimensional datasets. The method is based on a recursive binary division strategy that successively divides an original dataset into distinct clusters. Each binary division is carried out using a model-free expectation maximization scheme that exploits the posterior probability computation capability of the quasi-supervised learning algorithm. The divisions are carried out until a division cost exceeds an adaptively determined limit. Experiment results on synthetic as well as real multi-color flow cytometry datasets showed that the proposed method can accurately capture the prominent clusters without requiring any knowledge on the number of clusters or their distribution models.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014en_US
dc.relation.ispartofseriesIEEE International Conference on Bioinformatics and Biomedicine-BIBM-
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleModel-free expectation maximization for divisive hierarchical clustering of multicolor flow cytometry dataen_US
dc.typeConference Objecten_US
dc.institutionauthorKöktürk, Başak Esintr
dc.institutionauthorKaraçalı, Bilgetr
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.wosWOS:000377412300217en_US
dc.identifier.scopus2-s2.0-84922779176en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıtr
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityN/A-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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