Heterogeneous Learning of Functional Clustering Regression and Application to Chinese Air Pollution Data

Clustering algorithms are widely used to mine the heterogeneity between meteorological observations. However, traditional applications suffer from information loss due to data processing and pay little attention to the interaction between meteorological indicators. In this paper, we combine the idea...

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Detalles Bibliográficos
Autores principales: Wang, Tingting, Qin, Linjie, Dai, Chao, Wang, Zhen, Gong, Chenqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002127/
https://www.ncbi.nlm.nih.gov/pubmed/36901175
http://dx.doi.org/10.3390/ijerph20054155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002127/
https://www.ncbi.nlm.nih.gov/pubmed/36901175
http://dx.doi.org/10.3390/ijerph20054155

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