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dc.contributor.authorKoesner, Christoph L.
dc.contributor.authorNordhausen, Klaus
dc.date.accessioned2021-11-17T06:59:33Z
dc.date.available2021-11-17T06:59:33Z
dc.date.issued2021
dc.identifier.citationKoesner, C. L., & Nordhausen, K. (2021). <i>KernelICA : Kernel Independent Component Analysis</i>. CRAN - The Comprehensive R Archive Network. <a href="https://cran.r-project.org/package=KernelICA" target="_blank">https://cran.r-project.org/package=KernelICA</a>
dc.identifier.otherCONVID_51972842
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/78679
dc.description.abstractThe kernel independent component analysis (kernel ICA) method introduced by Bach and Jordan (2003) . The incomplete Cholesky decomposition used in kernel ICA is provided as separate function.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherCRAN - The Comprehensive R Archive Network
dc.relation.urihttps://cran.r-project.org/package=KernelICA
dc.rightsIn Copyright
dc.titleKernelICA : Kernel Independent Component Analysis
dc.typeother
dc.identifier.urnURN:NBN:fi:jyu-202111175690
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.type.urihttp://purl.org/coar/resource_type/c_5ce6
dc.description.reviewstatusnonPeerReviewed
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2021
dc.rights.accesslevelopenAccessfi
dc.subject.ysoriippumattomien komponenttien analyysi
dc.subject.ysoR-kieli
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p38529
jyx.subject.urihttp://www.yso.fi/onto/yso/p24355
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en


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