BOOK DOWNLOAD

Evolutionary Data Clustering: Algorithms and Applications

20.00$
Evolutionary Data Clustering: Algorithms and Applications
BOOK DOWNLOAD

Evolutionary Data Clustering: Algorithms and Applications

20.00$

(Algorithms for Intelligent Systems) 1st ed. 2021 Edition 

by Ibrahim Aljarah (Editor), Hossam Faris (Editor), Seyedali Mirjalili (Editor) 

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 in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.

Year:
2021
Pages:
253
Language:
English
Format:
PDF
Size:
7 MB
Publisher:
Springer
ISBN-10:
9813341904
ISBN-13:
978-9813341906
ASIN:
B08X46Q32B
Tag:
Download Book Evolutionary Data Clustering: Algorithms and Applications