Articles liés à Metaheuristics for Data Clustering and Image Segmentation

Metaheuristics for Data Clustering and Image Segmentation - Couverture rigide

Livre 123 sur 188: Intelligent Systems Reference Library

Ramdas, Meera; Abraham, Ajith

 
9783030040963: Metaheuristics for Data Clustering and Image Segmentation
Couverture rigide
ISBN 10 : 3030040968 ISBN 13 : 9783030040963
Editeur : Springer Nature Switzerland AG, 2019

Synopsis

In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.


Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.


Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2019
Langue
anglais
ISBN 10 
3030040968
ISBN 13 
9783030040963
Reliure
Relié
Nombre de pages
163
Coordonnées du fabricant
non disponible
Personne responsable
non disponible