Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization

Multikernel clustering achieves clustering of linearly inseparable data by applying a kernel method to samples in multiple views. A localized SimpleMKKM (LI-SimpleMKKM) algorithm has recently been proposed to perform min-max optimization in multikernel clustering where each instance is only required...

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Detalles Bibliográficos
Autores principales: Qiu, Jiaji, Xu, Huiying, Zhu, Xinzhong, Adjeisah, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038733/
https://www.ncbi.nlm.nih.gov/pubmed/36970247
http://dx.doi.org/10.1155/2023/6654304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038733/
https://www.ncbi.nlm.nih.gov/pubmed/36970247
http://dx.doi.org/10.1155/2023/6654304

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