CLUSTERING PROBLEMS IN A MULTIOBJECTIVE FRAMEWORK
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| Format: | Artículo científico |
| Language: | en |
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Universidad de Costa Rica
2016
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| _version_ | 1876451579629928448 |
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| author | YUNAY HERNÁNDEZ |
| author_facet | YUNAY HERNÁNDEZ |
| contents | CLUSTERING PROBLEMS IN A MULTIOBJECTIVE FRAMEWORK YUNAY HERNÁNDEZ RICARDO BEAUSOLEIL Física, Astronomía y Matemáticas clustering tabu search Combinatorial data analysis multiobjective optimization We propose a new algorithm using tabu search to deal with biob jective clustering problems. A cluster is a collection of records tha t are similar to one other and dissimilar to records in other clusters. Cluste ring has appli- cations in VLSI design, protein-protein interaction netwo rks, data mining and many others areas. Clustering problems have been subject o f numer- ous studies; however, most of the work has focused on single-o bjective problems. In the context of multiobjective optimization our ai m is to find a good approximation to the Pareto front and provide a method to make decisions. As an application problem we present the zoning p roblem by allowing the optimization of two objectives. 2016 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45349329007 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.2 Vol.23 |
| format | Artículo científico |
| id | redalyc_45349329007 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad de Costa Rica |
| spellingShingle | CLUSTERING PROBLEMS IN A MULTIOBJECTIVE FRAMEWORK YUNAY HERNÁNDEZ Física, Astronomía y Matemáticas clustering tabu search Combinatorial data analysis multiobjective optimization CLUSTERING PROBLEMS IN A MULTIOBJECTIVE FRAMEWORK YUNAY HERNÁNDEZ RICARDO BEAUSOLEIL Física, Astronomía y Matemáticas clustering tabu search Combinatorial data analysis multiobjective optimization We propose a new algorithm using tabu search to deal with biob jective clustering problems. A cluster is a collection of records tha t are similar to one other and dissimilar to records in other clusters. Cluste ring has appli- cations in VLSI design, protein-protein interaction netwo rks, data mining and many others areas. Clustering problems have been subject o f numer- ous studies; however, most of the work has focused on single-o bjective problems. In the context of multiobjective optimization our ai m is to find a good approximation to the Pareto front and provide a method to make decisions. As an application problem we present the zoning p roblem by allowing the optimization of two objectives. 2016 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45349329007 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.2 Vol.23 |
| title | CLUSTERING PROBLEMS IN A MULTIOBJECTIVE FRAMEWORK |
| topic | Física, Astronomía y Matemáticas clustering tabu search Combinatorial data analysis multiobjective optimization |
| url | https://www.redalyc.org/articulo.oa?id=45349329007 |