Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L(2,1)-Norm

Accurate clustering is a challenging task with unlabeled data. Ensemble clustering aims to combine sets of base clusterings to obtain a better and more stable clustering and has shown its ability to improve clustering accuracy. Dense representation ensemble clustering (DREC) and entropy-based locall...

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Detalles Bibliográficos
Autores principales: Xu, Jiaxuan, Wu, Jiang, Li, Taiyong, Nan, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601663/
https://www.ncbi.nlm.nih.gov/pubmed/37420344
http://dx.doi.org/10.3390/e24101324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601663/
https://www.ncbi.nlm.nih.gov/pubmed/37420344
http://dx.doi.org/10.3390/e24101324

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