Improvement of K-Means Algorithm and Its Application in Air Passenger Grouping

The k-means is one of the most popular clustering analysis algorithm and widely used in various fields. Nevertheless, it continues to have some shortcomings, for example, extremely sensitive to the initial center points selection and the special points such as noise or outliers. Therefore, this pape...

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Detalles Bibliográficos
Autores principales: Yu, Donghua, Dong, Shuhua, Yao, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484948/
https://www.ncbi.nlm.nih.gov/pubmed/36131897
http://dx.doi.org/10.1155/2022/3958423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484948/
https://www.ncbi.nlm.nih.gov/pubmed/36131897
http://dx.doi.org/10.1155/2022/3958423

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