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Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering

The aim of collaborative clustering is to enhance the performances of clustering algorithms by enabling them to work together and exchange their information to tackle difficult data sets. The fundamental concept of collaboration is that clustering algorithms operate locally but collaborate by exchan...

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Detalles Bibliográficos
Autores principales: Sublime, Jérémie, Cabanes, Guénaël, Matei, Basarab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514282/
http://dx.doi.org/10.3390/e21100951