Composite likelihood methods for parsimonious model-based clustering of mixed-type data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: 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

Creator: Ranalli, Monia
Rocci, Roberto

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11634-023-00539-5

URN: urn:nbn:de:101:1-2023082411591652525437

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

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Ranalli, Monia
Rocci, Roberto
SpringerLink (Online service)

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Composite likelihood methods for parsimonious model-based clustering of mixed-type data

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Other Objects (12)

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