A generalized fuzzy clustering framework for incomplete data by integrating feature weighted and kernel learning

Missing data presents a challenge to clustering algorithms, as traditional methods tend to pad incomplete data first before clustering. To combine the two processes of padding and clustering and improve the clustering accuracy, a generalized fuzzy clustering framework is proposed based on optimal co...

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Detalles Bibliográficos
Autores principales: Yang, Ying, Chen, Haoyu, Wu, Haoshen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588703/
https://www.ncbi.nlm.nih.gov/pubmed/37869452
http://dx.doi.org/10.7717/peerj-cs.1600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588703/
https://www.ncbi.nlm.nih.gov/pubmed/37869452
http://dx.doi.org/10.7717/peerj-cs.1600

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