dc.contributor.author Taskinen, Sara dc.contributor.author Sirkiä, Seija dc.contributor.author Oja, Hannu dc.date.accessioned 2012-11-30T11:37:00Z dc.date.available 2012-11-30T11:37:00Z dc.date.issued 2007 fi dc.identifier.citation Taskinen, S., Sirkiä, S., & Oja, H. (2007). Independent component analysis based on symmetrised scatter matrices. Comput. Statist. Data Anal., 51 (10), 5103-5111. doi:10.1016/j.csda.2006.07.010 fi dc.identifier.other TUTKAID_25747 dc.identifier.uri https://jyx.jyu.fi/handle/123456789/40493 dc.description.abstract A 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.iso eng dc.publisher Elsevier dc.relation.ispartofseries Computational Statistics & Data Analysis dc.subject.other ICA dc.subject.other hajontamatriisit dc.subject.other affine equivariance dc.subject.other FastICA dc.subject.other independence property dc.subject.other source separation dc.subject.other symmetrised scatter matrix dc.title Independent component analysis based on symmetrised scatter matrices fi dc.type Article dc.identifier.urn URN:NBN:fi:jyu-201211293130 dc.contributor.laitos Matematiikan ja tilastotieteen laitos fi dc.contributor.laitos Department of Mathematics and Statistics en dc.contributor.oppiaine Tilastotiede fi dc.type.uri http://purl.org/eprint/type/SubmittedJournalArticle dc.identifier.doi 10.1016/j.csda.2006.07.010 dc.date.updated 2012-11-29T10:40:20Z dc.type.coar journal article dc.description.reviewstatus peerReviewed dc.format.pagerange 5103-5111 dc.relation.issn 0167-9473 dc.relation.numberinseries 10 dc.relation.volume 51 dc.type.version submittedVersion 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.accesslevel openAccess fi
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