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Clustering Using Boosted Constrained k-Means Algorithm
This article proposes a constrained clustering algorithm with competitive performance and less computation time to the state-of-the-art methods, which consists of a constrained k-means algorithm enhanced by the boosting principle. Constrained k-means clustering using constraints as background knowle...
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| Publicado en: | Front Robot AI |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805652/ https://ncbi.nlm.nih.gov/pubmed/33500905 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2018.00018 |
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