An Improved K-Means Algorithm Based on Evidence Distance

The main influencing factors of the clustering effect of the k-means algorithm are the selection of the initial clustering center and the distance measurement between the sample points. The traditional k-mean algorithm uses Euclidean distance to measure the distance between sample points, thus it su...

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Detalles Bibliográficos
Autores principales: Zhu, Ailin, Hua, Zexi, Shi, Yu, Tang, Yongchuan, Miao, Lingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625371/
https://www.ncbi.nlm.nih.gov/pubmed/34828248
http://dx.doi.org/10.3390/e23111550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625371/
https://www.ncbi.nlm.nih.gov/pubmed/34828248
http://dx.doi.org/10.3390/e23111550

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