Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding

A number of literature reports have shown that multi-view clustering can acquire a better performance on complete multi-view data. However, real-world data usually suffers from missing some samples in each view and has a small number of labeled samples. Additionally, almost all existing multi-view c...

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Detalles Bibliográficos
Autores principales: Wang, Senhong, Cao, Jiangzhong, Lei, Fangyuan, Dai, Qingyun, Liang, Shangsong, Wing-Kuen Ling, Bingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331271/
https://www.ncbi.nlm.nih.gov/pubmed/34354743
http://dx.doi.org/10.1155/2021/4296247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331271/
https://www.ncbi.nlm.nih.gov/pubmed/34354743
http://dx.doi.org/10.1155/2021/4296247

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