Metaheuristics for Data Clustering and Image Segmentation

Name: Metaheuristics for Data Clustering and Image Segmentation
Brand: Springer Nature Switzerland AG
SKU: 9783030040963
Price: 551.47 RON
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Autor: Meera Ramadas, Ajith Abraham

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Editura: Springer Nature Switzerland AG

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In this book, differential evolution and its modified variants are applied to the clustering of data...

Informații despre carte

Autor

Meera Ramadas, Ajith Abraham

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2019

Pagini

163

EAN

9783030040963

Enbook ID

20392817

Editura

Springer Nature Switzerland AG

Greutate

436

Dimensiuni

155 x 235 x 16

Descriere completă

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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Metaheuristics for Data Clustering and Image Segmentation

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