Metaheuristics for Data Clustering and Image Segmentation

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, Computer Graphics, General Computing
Cover of the book Metaheuristics for Data Clustering and Image Segmentation by Meera Ramadas, Ajith Abraham, Springer International Publishing
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Author: Meera Ramadas, Ajith Abraham ISBN: 9783030040970
Publisher: Springer International Publishing Publication: December 12, 2018
Imprint: Springer Language: English
Author: Meera Ramadas, Ajith Abraham
ISBN: 9783030040970
Publisher: Springer International Publishing
Publication: December 12, 2018
Imprint: Springer
Language: English

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.

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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.

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