Evolutionary Data Clustering: Algorithms and Applications

Name: Evolutionary Data Clustering: Algorithms and Applications
Brand: Springer Verlag, Singapore
SKU: 9789813341906
Price: 4111 CZK
Availability: InStock

Autor: Hossam Faris, Seyedali Mirjalili

Jazyk:

Vazba: Pevná

Vydavatel: Springer Verlag, Singapore

Dostupnost: Skladem u dodavatele

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4 111 Kč

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discus...

Informace o knize

Autor

Hossam Faris, Seyedali Mirjalili

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2021

Stránek

260

EAN

9789813341906

ISBN

9813341904

Enbook ID

33447084

Vydavatel

Springer Verlag, Singapore

Hmotnost

559

Rozměry

160 x 241 x 20

Kompletní popis

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.

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Evolutionary Data Clustering: Algorithms and Applications

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