KL Divergence-Based Fuzzy Cluster Ensemble for Image Segmentation

Ensemble clustering combines different basic partitions of a dataset into a more stable and robust one. Thus, cluster ensemble plays a significant role in applications like image segmentation. However, existing ensemble methods have a few demerits, including the lack of diversity of basic partitions...

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Detalles Bibliográficos
Autores principales: Wei, Huiqin, Chen, Long, Guo, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512790/
https://www.ncbi.nlm.nih.gov/pubmed/33265364
http://dx.doi.org/10.3390/e20040273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512790/
https://www.ncbi.nlm.nih.gov/pubmed/33265364
http://dx.doi.org/10.3390/e20040273

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