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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| 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 |