Adaptive Initialization Method for K-Means Algorithm

The K-means algorithm is a widely used clustering algorithm that offers simplicity and efficiency. However, the traditional K-means algorithm uses a random method to determine the initial cluster centers, which make clustering results prone to local optima and then result in worse clustering perform...

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Detalles Bibliográficos
Autores principales: Yang, Jie, Wang, Yu-Kai, Yao, Xin, Lin, Chin-Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656690/
https://www.ncbi.nlm.nih.gov/pubmed/34901837
http://dx.doi.org/10.3389/frai.2021.740817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656690/
https://www.ncbi.nlm.nih.gov/pubmed/34901837
http://dx.doi.org/10.3389/frai.2021.740817

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