Publication:

direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods

Date

2023
Journal article
https://doi.org/10.1016/j.softx.2022.101282
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dc.contributor.authorMenvouta, Emmanuel Jordy
dc.contributor.authorSerneels, Sven
dc.contributor.authorVerdonck, Tim
dc.contributor.imecauthorVerdonck, Tim
dc.contributor.orcidextSerneels, Sven::0000-0003-1642-189X
dc.contributor.orcidimecVerdonck, Tim::0000-0003-1105-2028
dc.date.accessioned2023-12-12T10:37:25Z
dc.date.available2023-11-22T14:20:28Z
dc.date.available2023-12-12T10:37:25Z
dc.date.embargo2022-11-22
dc.date.issued2023
dc.identifier.doi10.1016/j.softx.2022.101282
dc.identifier.issn2352-7110
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43172
dc.publisherELSEVIER
dc.source.beginpage101282
dc.source.endpagena
dc.source.issuena
dc.source.journalSOFTWAREX
dc.source.numberofpages7
dc.source.volume21
dc.subject.disciplineMathematics
dc.subject.keywordsPARTIAL LEAST-SQUARES
dc.subject.keywordsREGRESSION
dc.subject.keywordsPROJECTION
dc.subject.keywordsSPARSE
dc.title

direpack: A Python 3 package for state-of-the-art statistical dimensionality reduction methods

dc.typeJournal article
dspace.entity.typePublication
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