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Advances in Data Clustering: Theory and Applications 2024 edition
Advances in Data Clustering: Theory and Applications
Within the theme of “Data Clustering,” this book assumes substantial importance due to its indispensable clustering role in various contexts. As the era of online media facilitates the rapid generation of large datasets, clustering emerges as a pivotal player in data mining and machine learning.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 30 de diciembre de 2024 |
| ISBN13 | 9789819776788 |
| Editores | Springer Verlag, Singapore |
| Páginas | 217 |
| Dimensiones | 150 × 220 × 20 mm · 503 g |
| Editor | Constantin, Joseph |
| Editor | Dornaika, Fadi |
| Editor | Hamad, Denis |
| Editor | Hoang, Vinh Truong |