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Robust large-scale clustering based on correntropy

With the explosive growth of data, how to efficiently cluster large-scale unlabeled data has become an important issue that needs to be solved urgently. Especially in the face of large-scale real-world data, which contains a large number of complex distributions of noises and outliers, the research...

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Detalles Bibliográficos
Autores principales: Jin, Guodong, Gao, Jing, Tan, Lining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635755/
https://www.ncbi.nlm.nih.gov/pubmed/36331916
http://dx.doi.org/10.1371/journal.pone.0277012

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