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Wir sind gerne für Sie daThis 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.
Produkteigenschaften
- Artikelnummer: 9789813341906
- Medium: Buch
- ISBN: 978-981-334-190-6
- Verlag: Springer
- Erscheinungstermin: 21.02.2021
- Sprache(n): Englisch
- Auflage: 1. Auflage 2021
- Serie: Algorithms for Intelligent Systems
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 559 g
- Seiten: 248
- Format (B x H x T): 160 x 241 x 20 mm
- Ausgabetyp: Kein, Unbekannt