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Metaheuristics for Data Clustering and Image Segmentation (Intelligent Systems
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Metaheuristics for Data Clustering and Image Segmentation (Intelligent Systems Reference Library, 152) Hardcover - 2019

by Meera Ramadas

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Description

Acceptable. IMP: Acceptable- Do not include ACCESS CODE, CD-ROM or companion materials even if stated in item title. It may contain highlighting/markings throughout, and the covers and corners may show shelf wear. Corners, pages may be dent. All text is legible.
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Details

  • Title Metaheuristics for Data Clustering and Image Segmentation (Intelligent Systems Reference Library, 152)
  • Author Meera Ramadas
  • Binding Hardcover
  • Condition Used - Acceptable
  • Pages 163
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2019-01-31
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # A3030040968
  • ISBN 9783030040963 / 3030040968
  • Weight 0.94 lbs (0.43 kg)
  • Dimensions 9.21 x 6.14 x 0.44 in (23.39 x 15.60 x 1.12 cm)
  • Dewey Decimal Code 006.3

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From the rear cover

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.