Reproducible clustering with non-Euclidean distances: a simulation and case study
- 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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Reproducible clustering with non-Euclidean distances: a simulation and case study ; day:28 ; month:7 ; year:2023 ; pages:1-20
International journal of data science and analytics ; (28.7.2023), 1-20
- Urheber
-
Staples, Lauren
Ring, Janelle
Fontana, Scott
Stradwick, Christina
DeMaio, Joe
Ray, Herman
Zhang, Yifan
Zhang, Xinyan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s41060-023-00429-1
- URN
-
urn:nbn:de:101:1-2023103110235549077017
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Staples, Lauren
- Ring, Janelle
- Fontana, Scott
- Stradwick, Christina
- DeMaio, Joe
- Ray, Herman
- Zhang, Yifan
- Zhang, Xinyan
- SpringerLink (Online service)
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