Cargando…
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...
Autores principales: | Yu, Donghua, Dong, Shuhua, Yao, Shuang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
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 |
Ejemplares similares
-
An Improved K-Means Algorithm Based on Evidence Distance
por: Zhu, Ailin, et al.
Publicado: (2021) -
Application of Statistical K-Means Algorithm for University Academic Evaluation
por: Yu, Daohua, et al.
Publicado: (2022) -
A practical method to estimate the benefits of improved road network reliability: an application to departing air passengers
por: Kroes, Eric, et al.
Publicado: (2017) -
Adaptive Initialization Method for K-Means Algorithm
por: Yang, Jie, et al.
Publicado: (2021) -
Incremental genetic K-means algorithm and its application in gene expression data analysis
por: Lu, Yi, et al.
Publicado: (2004)