Metaheuristics for Data Clustering and Image Segmentation
Author | : Meera Ramadas |
Publisher | : Springer |
Total Pages | : 167 |
Release | : 2018-12-12 |
ISBN-10 | : 9783030040970 |
ISBN-13 | : 3030040976 |
Rating | : 4/5 (70 Downloads) |
Download or read book Metaheuristics for Data Clustering and Image Segmentation written by Meera Ramadas and published by Springer. This book was released on 2018-12-12 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.