Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting.

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Title: Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting.
Authors: Arsenteva, Polina1,2, polina.arsenteva@univ-nantes.fr, Benadjaoud, Mohamed Amine3, Cardot, Hervé1
Source: Journal of Computational & Graphical Statistics; Oct-Dec2025, Vol. 34 Issue 4, p1542-1552, 11p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 190909474
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  Data: Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>; Oct-Dec2025, Vol. 34 Issue 4, p1542-1552, 11p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/10618600.2025.2467645
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1542
    Titles:
      – TitleFull: Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting.
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            NameFull: Arsenteva, Polina
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            NameFull: Benadjaoud, Mohamed Amine
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            NameFull: Cardot, Hervé
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              Text: Oct-Dec2025
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              Y: 2025
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