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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| Hlavní autoři: | , , |
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| Další autoři: | |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Studies in Computational Intelligence
178 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Metaheuristic Clustering, Texte imprimé, 9783540921721 • Metaheuristic Clustering, Texte imprimé, 9783642100710 • Metaheuristic Clustering, Texte imprimé, 9783540922230 • Metaheuristic Clustering, Texte imprimé, 9783540921721 |
Obsah:
- 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