Document clustering with evolutionary systems through Straight-Line Programs "slp"
Autores
Castillo Sequera, José Luis; Fernández del Castillo Díez, José Raúl; González Sotos, León AtilanoIdentificadores
Enlace permanente (URI): http://hdl.handle.net/10017/43684DOI: 10.4236/jilsa.2012.44032
ISSN: 2150-8402
Editor
Scientific Research
Fecha de publicación
2012-11-11Cita bibliográfica
Castillo Sequera, J.L., Fernández del Castillo Díez, J.R. & González Sotos, L. 2012, "Document clustering with evolutionary systems through Straight-Line Programs "slp"", Journal of Intelligent Learning Systems and Applications, vol. 4, no. 4, pp. 303-318
Palabras clave
Clustering
Genetic Algorithm
Data Mining
Straight Line Programs
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Versión del editor
http://dx.doi.org/10.4236/jilsa.2012.44032Derechos
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
In this paper, we show a clustering method supported on evolutionary algorithms with the paradigm of linear genetic programming. "The Straight-Line Programs (slp)", which uses a data structure which will be useful to represent collections of documents. This data structure can be seen as a linear representation of programs, as well as representations in the form of graphs. It has been used as a theoretical model in Computer Algebra, and our purpose is to reuse it in a completely different context. In this case, we apply it to the field of grouping library collections through evolutionary algorithms. We show its efficiency with experimental data we got from traditional library collections.
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