株式会社極東書店トップ > 商品一覧 > Partitional Clustering via Nonsmooth Optimization : Clustering via Optimization. 1st ed. 2020.
商品詳細
Partitional Clustering via Nonsmooth Optimization : Clustering via Optimization. 1st ed. 2020.
・ISBN 978-3-030-37825-7 hard EUR 99.99
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| 著者・編者 | M. Bagirov, Adil / Karmitsa, Napsu / Taheri, Sona, |
|---|---|
| シリーズ | Unsupervised and Semi-Supervised Learning |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 336 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-3458> |
解説
This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the ?eld and it is well suited for practitioners already familiar with the basics of optimization.