Description: Metaheuristics for Data Clustering and Image Segmentation Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Meera Ramadas, Ajith Abraham Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030040963, 978-3030040963 Synopsis 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.
Price: 72.97 GBP
Location: Aldershot
End Time: 2024-12-03T09:02:29.000Z
Shipping Cost: 36.58 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 60 days
Return policy details:
Book Title: Metaheuristics for Data Clustering and Image Segmentation
Number of Pages: 163 Pages
Language: English
Publication Name: Metaheuristics for Data Clustering and Image Segmentation
Publisher: Springer Nature Switzerland A&G
Publication Year: 2019
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 436 g
Type: Textbook
Author: Ajith Abraham, Meera Ramadas
Series: Intelligent Systems Reference Library
Item Width: 155 mm
Format: Hardcover
