A Belief Two-Level Weighted Clustering Method for Incomplete Pattern Based on Multiview Fusion

Incomplete pattern clustering is a challenging task because the unknown attributes of the missing data introduce uncertain information that affects the accuracy of the results. In addition, the clustering method based on the single view ignores the complementary information from multiple views. Ther...

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Detalles Bibliográficos
Autores principales: Ma, Zong-fang, Zhao, Hui-xuan, Li, Lei-hua, Song, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729040/
https://www.ncbi.nlm.nih.gov/pubmed/36507228
http://dx.doi.org/10.1155/2022/2895338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729040/
https://www.ncbi.nlm.nih.gov/pubmed/36507228
http://dx.doi.org/10.1155/2022/2895338

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