Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis

This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performances of two multi-objective variants of DE over the fuzzy clustering problem, where two conflicting fuzzy validity indices...

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Detalles Bibliográficos
Autores principales: Suresh, Kaushik, Kundu, Debarati, Ghosh, Sayan, Das, Swagatam, Abraham, Ajith, Han, Sang Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297137/
https://www.ncbi.nlm.nih.gov/pubmed/22412346
http://dx.doi.org/10.3390/s90503981

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297137/
https://www.ncbi.nlm.nih.gov/pubmed/22412346
http://dx.doi.org/10.3390/s90503981

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