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

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£128.45 £99.36 £105.70 £112.05 £118.40 £124.75 £131.10 28 July 2026 06 August 2026 16 August 2026 26 August 2026 05 September 2026
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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

Format
hardcover
Domain
Amazon UK
Release Date
21 February 2021
Listed Since
10 October 2020

Barcode

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