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Partitioning Clustering Based on Support Vector Ranking

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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.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2017-11-14T00:02:17Z
dc.date.available2017-11-14T00:02:17Z
dc.date.embargoedUntil2017-11-13
dc.date.issued2016
dc.format.extent12
dc.format.extent1883908
dc.identifier71203921
dc.identifierdf46f976-0613-409d-b12f-f4c37d75073b
dc.identifier85000470550
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, 12/12/16. https://doi.org/10.1007/978-3-319-49586-6_52en
dc.identifier.citationconferenceen
dc.identifier.doi10.1007/978-3-319-49586-6_52
dc.identifier.isbn978-3-319-49585-9
dc.identifier.isbn978-3-319-49586-6
dc.identifier.otherORCID: /0000-0002-1761-6659/work/59923317
dc.identifier.urihttp://hdl.handle.net/2164/9595
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.relation.ispartofAdvanced Data Mining and Applicationsen
dc.relation.ispartofseriesLecture Notes in Artificial Intelligenceen
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

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