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Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications - Unsupervised and Semi-Supervised Learning Softcover Reprint of the Original 1st 2019 edition
Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications - Unsupervised and Semi-Supervised Learning
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems.
187 pages, 50 Tables, color; 31 Illustrations, color; 32 Illustrations, black and white; IX, 187 p.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 19, 2019 |
| ISBN13 | 9783030074197 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 187 |
| Dimensions | 150 × 220 × 10 mm · 454 g |
| Language | German |
| Editor | Ben N'Cir, Chiheb-Eddine |
| Editor | Nasraoui, Olfa |