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£102.00

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

Name: Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems)
Brand: Springer
Price: 102.0 GBP
Availability: InStock

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Description

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9813341904
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 21 February 2021
Listed Since: 10 October 2020

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

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