Biclustering in data mining using a memetic multi-objective evolutionary algorithm

In this paper, a new memetic strategy that integrates a multi-objective evolutionary algorithm (the SPEA2) with a local search technique for data mining is presented. The algorithm explores a Term Frequency-Inverse Document Frequency (TF-IDF) data matrix in order to find biclusters that fulfill seve...

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Detalles Bibliográficos
Autores principales: Gallo, Cristian Andrés, Maguitman, Ana Gabriela, Carballido, Jessica Andrea, Ponzoni, Ignacio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2008
Materias:
Ciencias Informáticas
biclustering
evolutionary algorithms
Data mining
Algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21682
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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