Composite likelihood methods for parsimonious model-based clustering of mixed-type data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
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Composite likelihood methods for parsimonious model-based clustering of mixed-type data ; day:9 ; month:4 ; year:2023 ; pages:1-27
Advances in data analysis and classification ; (9.4.2023), 1-27
- Urheber
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Ranalli, Monia
Rocci, Roberto
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s11634-023-00539-5
- URN
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urn:nbn:de:101:1-2023082411591652525437
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
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Beteiligte
- Ranalli, Monia
- Rocci, Roberto
- SpringerLink (Online service)
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