Metaheuristics for Data Clustering and Image Segmentation

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Intelligent Systems Reference Library 152

ISBN: 3030040968
ISBN 13: 9783030040963
Autor: Ramadas, Meera/Abraham, Ajith
Verlag: Springer Verlag GmbH
Umfang: ix, 163 S., 19 s/w Illustr., 59 farbige Illustr., 163 p. 78 illus., 59 illus. in color.
Erscheinungsdatum: 31.01.2019
Auflage: 1/2019
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 5715274 Kategorie:

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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