Show simple item record

dc.contributor.authorAhmad, Aliyu Usman
dc.contributor.authorStarkey, Andrew
dc.date.accessioned2017-04-25T12:28:18Z
dc.date.available2017-04-25T12:28:18Z
dc.date.issued2018-04
dc.identifier.citationAhmad , A U & Starkey , A 2018 , ' Application of feature selection methods for automated clustering analysis : a review on synthetic datasets ' , Neural Computing and Applications , vol. 29 , no. 7 , pp. 317-328 . https://doi.org/10.1007/s00521-017-3005-9en
dc.identifier.issn0941-0643
dc.identifier.otherPURE: 97302513
dc.identifier.otherPURE UUID: 358ab5b9-b1d2-46c2-bb92-c6ca292e7240
dc.identifier.otherScopus: 85018844153
dc.identifier.urihttp://hdl.handle.net/2164/8544
dc.descriptionOpen via Springer Compact Agreementen
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofNeural Computing and Applicationsen
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectclusteringen
dc.subjectself-organising neural network mapen
dc.subjectfeature selectionen
dc.subjectautomationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectComputer Science(all)en
dc.subject.lccQA75en
dc.titleApplication of feature selection methods for automated clustering analysis : a review on synthetic datasetsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Centre for Applied Dynamics Research (CADR)en
dc.contributor.institutionUniversity of Aberdeen.Engineering (Research Theme)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1007/s00521-017-3005-9


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record