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Paperback

Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems)

$175.99 / copy at 25+ copies As low as $171.99 at 100+Your best volume price

Total $4,399.75

Paperback · 248 pages Springer Nature Singapore · 2022

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About the book

Evolutionary Data Clustering

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 measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering indiverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.



The book, Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems) [Bulk, Wholesale, Quantity] ISBN#9789813341937 in Paperback by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer Nature Singapore
Format
Paperback
Published
Feb 22, 2022
ISBN-13
9789813341937
Pages
248
Printing
Printed on demand
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CopiesPrice per copyYou save
25 – 49 $175.99 12% off list
50 – 99 $173.99 13% off list
100+ $171.99 14% off list
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