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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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Detalles Bibliográficos
Autores principales: Okabe, Masayuki, Yamada, Seiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805652/
https://www.ncbi.nlm.nih.gov/pubmed/33500905
http://dx.doi.org/10.3389/frobt.2018.00018