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Evolutionary Data Clustering Algorithms And Applications 1st Edition Ibrahim Aljarah

Name: Evolutionary Data Clustering Algorithms And Applications 1st Edition Ibrahim Aljarah
SKU: BELL-51589016
Price: 31.00 USD
Availability: InStock
Rating: 5 (18 reviews)

SKU: BELL-51589016

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

18 reviews

Evolutionary Data Clustering Algorithms And Applications 1st Edition Ibrahim Aljarah instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 3.06 MB

Pages: 260

Author: Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, (eds.)

ISBN: 9789813341906, 9813341904

Language: English

Year: 2021

Edition: 1

Product desciption

Evolutionary Data Clustering Algorithms And Applications 1st Edition Ibrahim Aljarah by Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, (eds.) 9789813341906, 9813341904 instant download after payment.

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.