Document clustering with evolutionary systems through Straight-Line Programs "slp"
Authors
Castillo Sequera, José LuisIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/43684DOI: 10.4236/jilsa.2012.44032
ISSN: 2150-8402
Publisher
Scientific Research
Date
2012-11-11Bibliographic citation
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
Keywords
Clustering
Genetic Algorithm
Data Mining
Straight Line Programs
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
http://dx.doi.org/10.4236/jilsa.2012.44032Rights
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
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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