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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...
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| Publié dans: | Entropy (Basel) |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512790/ https://ncbi.nlm.nih.gov/pubmed/33265364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20040273 |
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