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Hybrid self-optimized clustering model based on citation links and textual features to detect research topics
The challenge of detecting research topics in a specific research field has attracted attention from researchers in the bibliometrics community. In this study, to solve two problems of clustering papers, i.e., the influence of different distributions of citation links and involved textual features o...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5659815/ https://www.ncbi.nlm.nih.gov/pubmed/29077747 http://dx.doi.org/10.1371/journal.pone.0187164 |