Metaheuristics for Data Clustering and Image Segmentation

Name: Metaheuristics for Data Clustering and Image Segmentation
Brand: Springer Nature Switzerland AG
SKU: 9783030040963
Price: 2286 CZK
Availability: InStock

Autor: Meera Ramadas, Ajith Abraham

Jazyk:

Vazba: Pevná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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2 286 Kč

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

Informace o knize

Autor

Meera Ramadas, Ajith Abraham

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2019

Stránek

163

EAN

9783030040963

Enbook ID

20392817

Vydavatel

Springer Nature Switzerland AG

Hmotnost

436

Rozměry

155 x 235 x 16

Kompletní popis

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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Kompletní popis

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