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dc.contributor.authorTaskinen, Sara
dc.contributor.authorSirkiä, Seija
dc.contributor.authorOja, Hannu
dc.date.accessioned2012-11-30T11:37:00Z
dc.date.available2012-11-30T11:37:00Z
dc.date.issued2007
dc.identifier.citationTaskinen, S., Sirkiä, S., & Oja, H. (2007). Independent component analysis based on symmetrised scatter matrices. <i>Comput. Statist. Data Anal.</i>, <i>51</i>(10), 5103-5111. <a href="https://doi.org/10.1016/j.csda.2006.07.010" target="_blank">https://doi.org/10.1016/j.csda.2006.07.010</a>
dc.identifier.otherCONVID_16913485
dc.identifier.otherTUTKAID_25747
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/40493
dc.description.abstractA new method for separating the mixtures of independent sources has been proposed recently in [Oja et al. (2006). Scatter matrices and independent component analysis. Austrian J. Statist., to appear]. This method is based on two scatter matrices with the so-called independence property. The corresponding method is now further examined. Simple simulation studies are used to compare the performance of so-called symmetrised scatter matrices in solving the independence component analysis problem. The results are also compared with the classical FastICA method. Finally, the theory is illustrated by some examples.fi
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesComput. Statist. Data Anal.
dc.subject.otherICA
dc.subject.otherhajontamatriisit
dc.titleIndependent component analysis based on symmetrised scatter matrices
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201211293130
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineStatisticsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2012-11-29T10:40:20Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange5103-5111
dc.relation.issn0167-9473
dc.relation.numberinseries10
dc.relation.volume51
dc.type.versionsubmittedVersion
dc.rights.copyright© Elsevier. This is a pre-print version of an article whose final and definitive form has been published by Elsevier.
dc.rights.accesslevelopenAccessfi
dc.relation.doi10.1016/j.csda.2006.07.010
dc.type.okmA1


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