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Intelligent Systems Reference Library

Metaheuristics for Data Clustering and Image Segmentation

Authors: meera, ramadas, Abraham, Ajith

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  • Presents recent research on metaheuristics for data clustering and image segmentation
  • Includes a detailed study of the differential evolution and flower pollination algorithms
  • Written primarily for academic researchers who are interested in metaheuristics, data mining, computational intelligence, and intelligent data management
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  • ISBN 978-3-030-04097-0
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About this book

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.


Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-030-04097-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Metaheuristics for Data Clustering and Image Segmentation
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
152
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-04097-0
DOI
10.1007/978-3-030-04097-0
Hardcover ISBN
978-3-030-04096-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
IX, 163
Number of Illustrations
19 b/w illustrations, 59 illustrations in colour
Topics

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