Non-Fiction Books:

Metaheuristics for Data Clustering and Image Segmentation

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Description

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.
Release date Australia
January 31st, 2019
Audience
  • Professional & Vocational
Edition
1st ed. 2019
Illustrations
59 Illustrations, color; 19 Illustrations, black and white; IX, 163 p. 78 illus., 59 illus. in color.
Pages
163
ISBN-13
9783030040963
Product ID
28485473

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