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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book D-type Cyclins and Cancer by Meera Ramadas, Ajith Abraham
Cover of the book Issues in the Use of Neural Networks in Information Retrieval by Meera Ramadas, Ajith Abraham
Cover of the book Personalized, Evolutionary, and Ecological Dermatology by Meera Ramadas, Ajith Abraham
Cover of the book Uncertainty in Economics by Meera Ramadas, Ajith Abraham
Cover of the book Advanced Microsystems for Automotive Applications 2013 by Meera Ramadas, Ajith Abraham
Cover of the book Sustainable Machining by Meera Ramadas, Ajith Abraham
Cover of the book Superconcentration and Related Topics by Meera Ramadas, Ajith Abraham
Cover of the book Women Phenomenologists on Social Ontology by Meera Ramadas, Ajith Abraham
Cover of the book Atlas of Animal Anatomy and Histology by Meera Ramadas, Ajith Abraham
Cover of the book Computational Proximity by Meera Ramadas, Ajith Abraham
Cover of the book Multiresolution Approach to Processing Images for Different Applications by Meera Ramadas, Ajith Abraham
Cover of the book Cross-Cultural Design by Meera Ramadas, Ajith Abraham
Cover of the book The Postmillennial Vampire by Meera Ramadas, Ajith Abraham
Cover of the book Cryptography and Information Security in the Balkans by Meera Ramadas, Ajith Abraham
Cover of the book Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data by Meera Ramadas, Ajith Abraham
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy