Metaheuristics for Data Clustering and Image Segmentation

; Ajith Abraham

Serie: Intelligent Systems Reference Library 152

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. Les mer
Vår pris
1719,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager

Vår pris: 1719,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager

Om boka

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.

Fakta