Metaheuristic Clustering

Cluster analysis means the organization of an unlabeled collection of objects or patterns into separate groups based on their similarity. The task of computerized data clustering has been approached from diverse domains of knowledge like graph theory, multivariate analysis, neural networks, fuzzy se...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Das, Swagatam (Autor), Abraham, Ajith (Autor), Konar, Amit (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 178
Temas:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Metaheuristic Pattern Clustering - An Overview
  • Differential Evolution Algorithm: Foundations and Perspectives
  • Modeling and Analysis of the Population-Dynamics of Differential Evolution Algorithm
  • Automatic Hard Clustering Using Improved Differential Evolution Algorithm
  • Fuzzy Clustering in the Kernel-Induced Feature Space Using Differential Evolution Algorithm
  • Clustering Using Multi-objective Differential Evolution Algorithms
  • Conclusions and Future Research.

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