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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...
Autores principales: | Naeni, Leila M., Craig, Hugh, Berretta, Regina, Moscato, Pablo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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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