Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-756X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning ; volume:36 ; number:3 ; day:11 ; month:2 ; year:2022 ; pages:958-986 ; date:5.2022
Data mining and knowledge discovery ; 36, Heft 3 (11.2.2022), 958-986, 5.2022

Creator: Peng, Hankui
Pavlidis, Nicos G.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10618-022-00820-9

URN: urn:nbn:de:101:1-2022072020401933731426

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

Last update: 15.08.2025, 7:28 AM CEST

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Peng, Hankui
Pavlidis, Nicos G.
SpringerLink (Online service)

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Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

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