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dc.contributor.authorPeng, Qing
dc.contributor.authorWang, Yan
dc.contributor.authorOu, Ge
dc.contributor.authorHuang, Lan
dc.contributor.authorPang, Wei
dc.contributor.editorLi, Jinyan
dc.contributor.editorLi, Xue
dc.contributor.editorWang, Shuliang
dc.contributor.editorLi, Jianxin
dc.contributor.editorSheng, Quan Z.
dc.date.accessioned2017-11-14T00:02:17Z
dc.date.available2017-11-14T00:02:17Z
dc.date.issued2016
dc.identifier.citationPeng , Q , Wang , Y , Ou , G , Huang , L & Pang , W 2016 , Partitioning Clustering Based on Support Vector Ranking . in J Li , X Li , S Wang , J Li & Q Z Sheng (eds) , Advanced Data Mining and Applications : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings . vol. 10086 , Lecture Notes in Artificial Intelligence , Springer International Publishing , pp. 726-737 , ADMA 2016 , Gold Coast , Australia , 12-15 December . DOI: 10.1007/978-3-319-49586-6_52en
dc.identifier.citationconferenceen
dc.identifier.isbn978-3-319-49585-9
dc.identifier.isbn978-3-319-49586-6
dc.identifier.otherPURE: 71203921
dc.identifier.otherPURE UUID: df46f976-0613-409d-b12f-f4c37d75073b
dc.identifier.otherScopus: 85000470550
dc.identifier.urihttp://hdl.handle.net/2164/9595
dc.format.extent12en
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofAdvanced Data Mining and Applicationsen
dc.relation.ispartofseriesLecture Notes in Artificial Intelligenceen
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49586-6_52en
dc.subjectsupport vector clusteringen
dc.subjectsupport vector rankingen
dc.subjectpartitioning clusteringen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titlePartitioning Clustering Based on Support Vector Rankingen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen, Natural & Computing Sciences, Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen, Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.versionPostprinten
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-49586-6_52
dc.date.embargoedUntil13-11-20


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