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A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays

In this study we propose a novel, unsupervised clustering methodology for analyzing large datasets. This new, efficient methodology converts the general clustering problem into the community detection problem in graph by using the Jensen-Shannon distance, a dissimilarity measure originating in Infor...

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Detalles Bibliográficos
Autores principales: Naeni, Leila M., Craig, Hugh, Berretta, Regina, Moscato, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5003342/
https://www.ncbi.nlm.nih.gov/pubmed/27571416
http://dx.doi.org/10.1371/journal.pone.0157988

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