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Evolutionary Data Clustering: Algorithms and Applications - Aljarah, Ibrahim (Editor), and Faris, Hossam (Editor), and Mirjalili, Seyedali (Editor)
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This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality ...

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Evolutionary Data Clustering: Algorithms and Applications 2022, Springer Verlag, Singapore, Singapore

ISBN-13: 9789813341937

Paperback

Evolutionary Data Clustering: Algorithms and Applications 2021, Springer, Singapore

ISBN-13: 9789813341906

2021 edition

Hardcover