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Data Clustering: Theory, Algorithms, and Applications - Mathematics in Industry Guojun Gan 2 Revised edition
Data Clustering: Theory, Algorithms, and Applications - Mathematics in Industry
Guojun Gan
Data clustering is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this book, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments.
406 pages
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de diciembre de 2020 |
| ISBN13 | 9781611976328 |
| Editores | Society for Industrial & Applied Mathema |
| Páginas | 406 |
| Dimensiones | 258 × 253 × 28 mm · 886 g |
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