Latent Block Regression Model
In: Classification and Data Science in the Digital Age; (2023) S. 73-81
Online
E-Book
Zugriff:
Titel: |
Latent Block Regression Model
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Autor/in / Beteiligte Person: | Boutalbi, Rafika ; Labiod, Lazhar ; Nadif, Mohamed ; Gaul, Wolfgang, Managing Editor ; Vichi, Maurizio, Managing Editor ; Weihs, Claus, Managing Editor ; Baier, Daniel [Ed.]ial Board Member ; Critchley, Frank [Ed.]ial Board Member ; Decker, Reinhold [Ed.]ial Board Member ; Diday, Edwin [Ed.]ial Board Member ; Greenacre, Michael [Ed.]ial Board Member ; Lauro, Carlo Natale [Ed.]ial Board Member ; Meulman, Jacqueline [Ed.]ial Board Member ; Monari, Paola [Ed.]ial Board Member ; Nishisato, Shizuhiko [Ed.]ial Board Member ; Ohsumi, Noboru [Ed.]ial Board Member ; Opitz, Otto [Ed.]ial Board Member ; Ritter, Gunter [Ed.]ial Board Member ; Schader, Martin [Ed.]ial Board Member ; Brito, Paula [Ed.] ; Dias, José G. [Ed.] ; Lausen, Berthold [Ed.] ; Montanari, Angela [Ed.] ; Nugent, Rebecca [Ed.] |
Quelle: | Classification and Data Science in the Digital Age; (2023) S. 73-81 |
Veröffentlichung: | 2023 |
Medientyp: | E-Book |
ISBN: | 978-3-031-09033-2 (print) ; 978-3-031-09034-9 (print) |
DOI: | 10.1007/978-3-031-09034-9_9 |
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