Spectral Clustering Algorithm Based on Improved Gaussian Kernel Function and Beetle Antennae Search with Damping Factor

There are two problems in the traditional spectral clustering algorithm. Firstly, when it uses Gaussian kernel function to construct the similarity matrix, different scale parameters in Gaussian kernel function will lead to different results of the algorithm. Secondly, K-means algorithm is often use...

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Detalles Bibliográficos
Autores principales: Zhang, Zhe, Liu, Xiyu, Wang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275956/
https://www.ncbi.nlm.nih.gov/pubmed/32612647
http://dx.doi.org/10.1155/2020/1648573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275956/
https://www.ncbi.nlm.nih.gov/pubmed/32612647
http://dx.doi.org/10.1155/2020/1648573

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