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Hidden dimensions of the data: PCA vs autoencoders
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark; Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID iD: 0000-0003-4222-9631
2023 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 35, no 4, p. 741-750Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Taylor & Francis, 2023. Vol. 35, no 4, p. 741-750
National Category
Computer Sciences
Research subject
Quality Technology and Logistics
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URN: urn:nbn:se:ltu:diva-99664DOI: 10.1080/08982112.2023.2231064ISI: 001040916100001Scopus ID: 2-s2.0-85166669210OAI: oai:DiVA.org:ltu-99664DiVA, id: diva2:1787849
Note

Validerad;2023;Nivå 2;2023-11-09 (hanlid)

Available from: 2023-08-15 Created: 2023-08-15 Last updated: 2024-03-07Bibliographically approved

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Kulahci, Murat

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