Metaheuristic Clustering

• Κύριοι συγγραφείς: Das, Swagatam (Συγγραφέας), Abraham, Ajith (Συγγραφέας), Konar, Amit (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Studies in Computational Intelligence, 178
• Θέματα: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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...

Πίνακας περιεχομένων:

• 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.