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Metaheuristics for Data Clustering and Image Segmentation (Hardcover, 1st ed. 2019) Loot Price: R2,447
Discovery Miles 24 470
Repayment Terms: R229 pm x 12*
Metaheuristics for Data Clustering and Image Segmentation (Hardcover, 1st ed. 2019): Meera Ramadas, Ajith Abraham

Metaheuristics for Data Clustering and Image Segmentation (Hardcover, 1st ed. 2019)

Meera Ramadas, Ajith Abraham

Series: Intelligent Systems Reference Library, 152

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Loot Price R2,447 Discovery Miles 24 470 | Repayment Terms: R229 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Intelligent Systems Reference Library, 152
Release date: 2019
First published: 2019
Authors: Meera Ramadas • Ajith Abraham
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 163
Edition: 1st ed. 2019
ISBN-13: 978-3-03-004096-3
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-03-004096-8
Barcode: 9783030040963

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