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Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.

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Bibliographic Details
Title: Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.
Authors: Cappozzo, Andrea1, andrea.cappozzo@unimi.it, Casa, Alessandro2, Fop, Michael3
Source: Journal of Computational & Graphical Statistics; Jul-Sep2025, Vol. 34 Issue 3, p1030-1050, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188019811
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>; Jul-Sep2025, Vol. 34 Issue 3, p1030-1050, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188019811
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10618600.2024.2429705
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1030
    Titles:
      – TitleFull: Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.
        Type: main
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            NameFull: Cappozzo, Andrea
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            NameFull: Casa, Alessandro
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            NameFull: Fop, Michael
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          Dates:
            – D: 01
              M: 07
              Text: Jul-Sep2025
              Type: published
              Y: 2025
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              Value: 34
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              Value: 3
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            – TitleFull: Journal of Computational & Graphical Statistics
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