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Conference Paper: An independent component ordering and selection procedure based on the MSE criterion

TitleAn independent component ordering and selection procedure based on the MSE criterion
Authors
Issue Date2006
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA2006), Lecture Notes in Computer Science, Volume 3889, p. 286-294 How to Cite?
AbstractPrincipal components (PCs) by construction have a natural ordering based on their cumulative proportion of variance explained. However, most ICA algorithms for finding independent components (ICs) are arbitrary, which limit the use of ICA in pattern discovery and dimension reduction. To solve this problem, we propose an efficient IC ordering approach and prove that this method guarantees to find the optimal ordering of ICs based on the MSE criterion. Furthermore, we employ the cross validation method to select the number of dominant ICs. Simulation experiments show that the proposed IC ordering and selection procedure is efficient and effective, which can be used to identify the dominant ICs as well as to reduce the number of ICs. © Springer-Verlag Berlin Heidelberg 2006.
Persistent Identifierhttp://hdl.handle.net/10722/110228
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorWu, EHen_HK
dc.contributor.authorYu, PLHen_HK
dc.contributor.authorLi, WKen_HK
dc.date.accessioned2010-09-26T01:56:44Z-
dc.date.available2010-09-26T01:56:44Z-
dc.date.issued2006en_HK
dc.identifier.citationProceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation (ICA2006), Lecture Notes in Computer Science, Volume 3889, p. 286-294en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/110228-
dc.description.abstractPrincipal components (PCs) by construction have a natural ordering based on their cumulative proportion of variance explained. However, most ICA algorithms for finding independent components (ICs) are arbitrary, which limit the use of ICA in pattern discovery and dimension reduction. To solve this problem, we propose an efficient IC ordering approach and prove that this method guarantees to find the optimal ordering of ICs based on the MSE criterion. Furthermore, we employ the cross validation method to select the number of dominant ICs. Simulation experiments show that the proposed IC ordering and selection procedure is efficient and effective, which can be used to identify the dominant ICs as well as to reduce the number of ICs. © Springer-Verlag Berlin Heidelberg 2006.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.titleAn independent component ordering and selection procedure based on the MSE criterionen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYu, PLH: plhyu@hkucc.hku.hken_HK
dc.identifier.emailLi, WK: hrntlwk@hku.hken_HK
dc.identifier.authorityYu, PLH=rp00835en_HK
dc.identifier.authorityLi, WK=rp00741en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/11679363_36en_HK
dc.identifier.scopuseid_2-s2.0-33745725571en_HK
dc.identifier.hkuros133500en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33745725571&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3889 LNCSen_HK
dc.identifier.spage286en_HK
dc.identifier.epage294en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridWu, EH=7202128063en_HK
dc.identifier.scopusauthoridYu, PLH=7403599794en_HK
dc.identifier.scopusauthoridLi, WK=14015971200en_HK

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