A Robust and High-Dimensional Clustering Algorithm Based on Feature Weight and Entropy

Since the Fuzzy C-Means algorithm is incapable of considering the influence of different features and exponential constraints on high-dimensional and complex data, a fuzzy clustering algorithm based on non-Euclidean distance combining feature weights and entropy weights is proposed. The proposed alg...

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Detalles Bibliográficos
Autor principal: Du, Xinzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048533/
https://www.ncbi.nlm.nih.gov/pubmed/36981399
http://dx.doi.org/10.3390/e25030510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048533/
https://www.ncbi.nlm.nih.gov/pubmed/36981399
http://dx.doi.org/10.3390/e25030510

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