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Evolutionary Data Clustering: Algorithms and Applications - Algorithms for Intelligent Systems 2021 edition
Evolutionary Data Clustering: Algorithms and Applications - Algorithms for Intelligent Systems
It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization.
248 pages, 51 Illustrations, color; 2 Illustrations, black and white; XII, 248 p. 53 illus., 51 illu
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 22, 2022 |
| ISBN13 | 9789813341937 |
| Publishers | Springer Verlag, Singapore |
| Pages | 248 |
| Dimensions | 150 × 220 × 10 mm · 371 g |
| Editor | Aljarah, Ibrahim |
| Editor | Faris, Hossam |
| Editor | Mirjalili, Seyedali |